2025-06-05T23:15:47.1510298Z Current runner version: '2.325.0'
2025-06-05T23:15:47.1516711Z Runner name: 'i-0f5fee78b59fe3ccf'
2025-06-05T23:15:47.1517732Z Machine name: 'ip-10-0-37-234'
2025-06-05T23:15:47.1520567Z ##[group]GITHUB_TOKEN Permissions
2025-06-05T23:15:47.1522804Z Contents: read
2025-06-05T23:15:47.1523585Z Metadata: read
2025-06-05T23:15:47.1524143Z ##[endgroup]
2025-06-05T23:15:47.1526588Z Secret source: Actions
2025-06-05T23:15:47.1527412Z Prepare workflow directory
2025-06-05T23:15:47.2079864Z Prepare all required actions
2025-06-05T23:15:47.2121627Z Getting action download info
2025-06-05T23:15:47.4871127Z Download action repository 'actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683)
2025-06-05T23:15:47.7460696Z Download action repository 'pytorch/pytorch@9c1bc9ce4684de96db025292610c0664d3d55345' (SHA:9c1bc9ce4684de96db025292610c0664d3d55345)
2025-06-05T23:15:58.9546564Z Download action repository 'actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-06-05T23:15:59.2733155Z Download action repository 'pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1)
2025-06-05T23:15:59.3625409Z Download action repository 'actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-06-05T23:15:59.7628833Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-06-05T23:16:00.0243761Z Getting action download info
2025-06-05T23:16:00.1188678Z Download action repository 'pytorch/pytorch@main' (SHA:fa705f791249c5eee912096f1d7ac7b2d5b60e8c)
2025-06-05T23:16:11.2251299Z Complete job name: test-openvino-linux / linux-job
2025-06-05T23:16:11.2772033Z A job started hook has been configured by the self-hosted runner administrator
2025-06-05T23:16:11.2877779Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-06-05T23:16:11.2886988Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:11.2887675Z ##[endgroup]
2025-06-05T23:16:12.7080766Z Runner Type: linux.2xlarge
2025-06-05T23:16:12.7081307Z Instance Type: c5.2xlarge
2025-06-05T23:16:12.7081573Z AMI Name: unknown
2025-06-05T23:16:12.7108064Z AMI ID: ami-071226ecf16aa7d96
2025-06-05T23:16:18.0932516Z ##[group]Run set -euxo pipefail
2025-06-05T23:16:18.0933035Z set -euxo pipefail
2025-06-05T23:16:18.0933339Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-06-05T23:16:18.0933724Z   echo "::group::Cleanup with-sudo debug output"
2025-06-05T23:16:18.0934094Z   sudo rm -rfv "${GITHUB_WORKSPACE}"
2025-06-05T23:16:18.0934403Z else
2025-06-05T23:16:18.0934656Z   echo "::group::Cleanup no-sudo debug output"
2025-06-05T23:16:18.0935013Z   rm -rfv "${GITHUB_WORKSPACE}"
2025-06-05T23:16:18.0935292Z fi
2025-06-05T23:16:18.0935505Z 
2025-06-05T23:16:18.0935729Z mkdir -p "${GITHUB_WORKSPACE}"
2025-06-05T23:16:18.0936042Z echo "::endgroup::"
2025-06-05T23:16:18.0945700Z shell: /usr/bin/bash -e {0}
2025-06-05T23:16:18.0945983Z env:
2025-06-05T23:16:18.0946248Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:18.0946631Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:18.0946960Z   PR_NUMBER: 
2025-06-05T23:16:18.0948120Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:16:18.0949336Z   NO_SUDO: false
2025-06-05T23:16:18.0949561Z ##[endgroup]
2025-06-05T23:16:18.0975410Z + [[ false == \f\a\l\s\e ]]
2025-06-05T23:16:18.0988355Z ##[group]Cleanup with-sudo debug output
2025-06-05T23:16:18.0991928Z + echo '::group::Cleanup with-sudo debug output'
2025-06-05T23:16:18.0992663Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/executorch/executorch
2025-06-05T23:16:18.2275609Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch'
2025-06-05T23:16:18.2291001Z + mkdir -p /home/ec2-user/actions-runner/_work/executorch/executorch
2025-06-05T23:16:18.2304343Z + echo ::endgroup::
2025-06-05T23:16:18.2305488Z ##[endgroup]
2025-06-05T23:16:18.2410082Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
2025-06-05T23:16:18.2410535Z with:
2025-06-05T23:16:18.2410767Z   repository: pytorch/test-infra
2025-06-05T23:16:18.2411069Z   path: test-infra
2025-06-05T23:16:18.2411300Z   submodules: recursive
2025-06-05T23:16:18.2411736Z   token: ***
2025-06-05T23:16:18.2411953Z   ssh-strict: true
2025-06-05T23:16:18.2412172Z   ssh-user: git
2025-06-05T23:16:18.2412439Z   persist-credentials: true
2025-06-05T23:16:18.2412697Z   clean: true
2025-06-05T23:16:18.2413040Z   sparse-checkout-cone-mode: true
2025-06-05T23:16:18.2413326Z   fetch-depth: 1
2025-06-05T23:16:18.2413575Z   fetch-tags: false
2025-06-05T23:16:18.2413797Z   show-progress: true
2025-06-05T23:16:18.2414040Z   lfs: false
2025-06-05T23:16:18.2414257Z   set-safe-directory: true
2025-06-05T23:16:18.2414516Z env:
2025-06-05T23:16:18.2414749Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:18.2415098Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:18.2415427Z   PR_NUMBER: 
2025-06-05T23:16:18.2416564Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:16:18.2417784Z ##[endgroup]
2025-06-05T23:16:18.3600531Z Syncing repository: pytorch/test-infra
2025-06-05T23:16:18.3601654Z ##[group]Getting Git version info
2025-06-05T23:16:18.3602576Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra'
2025-06-05T23:16:18.3603863Z [command]/usr/bin/git version
2025-06-05T23:16:18.3604346Z git version 2.47.1
2025-06-05T23:16:18.3613504Z ##[endgroup]
2025-06-05T23:16:18.3628133Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/eeb0f03a-f8a9-46a9-9287-b03c9ba07171' before making global git config changes
2025-06-05T23:16:18.3630358Z Adding repository directory to the temporary git global config as a safe directory
2025-06-05T23:16:18.3635016Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-06-05T23:16:18.3664349Z ##[group]Initializing the repository
2025-06-05T23:16:18.3669487Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-06-05T23:16:18.3699298Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-06-05T23:16:18.3700304Z hint: is subject to change. To configure the initial branch name to use in all
2025-06-05T23:16:18.3701313Z hint: of your new repositories, which will suppress this warning, call:
2025-06-05T23:16:18.3702018Z hint:
2025-06-05T23:16:18.3702545Z hint: 	git config --global init.defaultBranch <name>
2025-06-05T23:16:18.3703139Z hint:
2025-06-05T23:16:18.3703714Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-06-05T23:16:18.3704690Z hint: 'development'. The just-created branch can be renamed via this command:
2025-06-05T23:16:18.3705416Z hint:
2025-06-05T23:16:18.3705766Z hint: 	git branch -m <name>
2025-06-05T23:16:18.3706734Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.git/
2025-06-05T23:16:18.3711634Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra
2025-06-05T23:16:18.3737279Z ##[endgroup]
2025-06-05T23:16:18.3738023Z ##[group]Disabling automatic garbage collection
2025-06-05T23:16:18.3742430Z [command]/usr/bin/git config --local gc.auto 0
2025-06-05T23:16:18.3766372Z ##[endgroup]
2025-06-05T23:16:18.3767355Z ##[group]Setting up auth
2025-06-05T23:16:18.3773085Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-06-05T23:16:18.3797965Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-06-05T23:16:18.4071401Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-06-05T23:16:18.4093654Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-06-05T23:16:18.4341852Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-06-05T23:16:18.4377186Z ##[endgroup]
2025-06-05T23:16:18.4377978Z ##[group]Determining the default branch
2025-06-05T23:16:18.4381082Z Retrieving the default branch name
2025-06-05T23:16:18.6049856Z Default branch 'main'
2025-06-05T23:16:18.6050935Z ##[endgroup]
2025-06-05T23:16:18.6051636Z ##[group]Fetching the repository
2025-06-05T23:16:18.6057474Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin +refs/heads/main:refs/remotes/origin/main
2025-06-05T23:16:19.0455220Z From https://github.com/pytorch/test-infra
2025-06-05T23:16:19.0455763Z  * [new branch]      main       -> origin/main
2025-06-05T23:16:19.0475767Z ##[endgroup]
2025-06-05T23:16:19.0476167Z ##[group]Determining the checkout info
2025-06-05T23:16:19.0477504Z ##[endgroup]
2025-06-05T23:16:19.0481755Z [command]/usr/bin/git sparse-checkout disable
2025-06-05T23:16:19.0513579Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-06-05T23:16:19.0538746Z ##[group]Checking out the ref
2025-06-05T23:16:19.0542812Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main
2025-06-05T23:16:19.1367656Z Switched to a new branch 'main'
2025-06-05T23:16:19.1368534Z branch 'main' set up to track 'origin/main'.
2025-06-05T23:16:19.1374759Z ##[endgroup]
2025-06-05T23:16:19.1375174Z ##[group]Setting up auth for fetching submodules
2025-06-05T23:16:19.1380547Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-06-05T23:16:19.1416824Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-06-05T23:16:19.1443327Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-06-05T23:16:19.1470021Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-06-05T23:16:19.1497907Z ##[endgroup]
2025-06-05T23:16:19.1498578Z ##[group]Fetching submodules
2025-06-05T23:16:19.1499131Z [command]/usr/bin/git submodule sync --recursive
2025-06-05T23:16:19.1746598Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2025-06-05T23:16:19.1993737Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-06-05T23:16:19.2236251Z ##[endgroup]
2025-06-05T23:16:19.2236956Z ##[group]Persisting credentials for submodules
2025-06-05T23:16:19.2242650Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2025-06-05T23:16:19.2485227Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-06-05T23:16:19.2731394Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-06-05T23:16:19.2982477Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-06-05T23:16:19.3224529Z ##[endgroup]
2025-06-05T23:16:19.3255851Z [command]/usr/bin/git log -1 --format=%H
2025-06-05T23:16:19.3276224Z 714db9db22f90727b389d5ecb5a2dc16cd27d00c
2025-06-05T23:16:19.3449043Z Prepare all required actions
2025-06-05T23:16:19.3449537Z Getting action download info
2025-06-05T23:16:19.4551518Z Download action repository 'pytorch/test-infra@main' (SHA:714db9db22f90727b389d5ecb5a2dc16cd27d00c)
2025-06-05T23:16:20.7570908Z Getting action download info
2025-06-05T23:16:20.8451484Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-06-05T23:16:20.9951979Z ##[group]Run ./test-infra/.github/actions/setup-linux
2025-06-05T23:16:20.9952337Z env:
2025-06-05T23:16:20.9952566Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:20.9952906Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:20.9953165Z   PR_NUMBER: 
2025-06-05T23:16:20.9954352Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:16:20.9955518Z ##[endgroup]
2025-06-05T23:16:21.0037809Z ##[group]Run set -euo pipefail
2025-06-05T23:16:21.0038135Z set -euo pipefail
2025-06-05T23:16:21.0038418Z function get_ec2_metadata() {
2025-06-05T23:16:21.0038768Z   # Pulled from instance metadata endpoint for EC2
2025-06-05T23:16:21.0039400Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-06-05T23:16:21.0039942Z   category=$1
2025-06-05T23:16:21.0040816Z   curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2025-06-05T23:16:21.0041727Z }
2025-06-05T23:16:21.0041968Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-06-05T23:16:21.0042386Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-06-05T23:16:21.0042836Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-06-05T23:16:21.0043238Z echo "system info $(uname -a)"
2025-06-05T23:16:21.0048790Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:21.0049151Z env:
2025-06-05T23:16:21.0049381Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:21.0049716Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:21.0049977Z   PR_NUMBER: 
2025-06-05T23:16:21.0051083Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:16:21.0052261Z ##[endgroup]
2025-06-05T23:16:21.0174852Z ami-id: ami-071226ecf16aa7d96
2025-06-05T23:16:21.0278608Z instance-id: i-0f5fee78b59fe3ccf
2025-06-05T23:16:21.0368446Z instance-type: c5.2xlarge
2025-06-05T23:16:21.0377795Z system info Linux ip-10-0-37-234.ec2.internal 6.1.130-139.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Mar 11 01:10:58 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-06-05T23:16:21.0413463Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-06-05T23:16:21.0414395Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-06-05T23:16:21.0420268Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:21.0420632Z env:
2025-06-05T23:16:21.0420861Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:21.0421200Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:21.0421627Z   PR_NUMBER: 
2025-06-05T23:16:21.0422861Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:16:21.0424045Z ##[endgroup]
2025-06-05T23:16:21.0495579Z ##[group]Run if systemctl is-active --quiet docker; then
2025-06-05T23:16:21.0496015Z if systemctl is-active --quiet docker; then
2025-06-05T23:16:21.0496378Z     echo "Docker daemon is running...";
2025-06-05T23:16:21.0496691Z else
2025-06-05T23:16:21.0497019Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2025-06-05T23:16:21.0497429Z fi
2025-06-05T23:16:21.0502757Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:21.0503126Z env:
2025-06-05T23:16:21.0503385Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:21.0503711Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:21.0503982Z   PR_NUMBER: 
2025-06-05T23:16:21.0505113Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:16:21.0506276Z ##[endgroup]
2025-06-05T23:16:21.0575540Z Docker daemon is running...
2025-06-05T23:16:21.0603032Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-06-05T23:16:21.0603653Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-06-05T23:16:21.0604158Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2025-06-05T23:16:21.0604746Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
2025-06-05T23:16:21.0605473Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2025-06-05T23:16:21.0610682Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:21.0611057Z env:
2025-06-05T23:16:21.0611292Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:21.0611632Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:21.0611898Z   PR_NUMBER: 
2025-06-05T23:16:21.0613081Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:16:21.0614266Z   AWS_RETRY_MODE: standard
2025-06-05T23:16:21.0614558Z   AWS_MAX_ATTEMPTS: 5
2025-06-05T23:16:21.0614845Z   AWS_DEFAULT_REGION: us-east-1
2025-06-05T23:16:21.0615110Z ##[endgroup]
2025-06-05T23:16:22.1752191Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-06-05T23:16:22.1753160Z Configure a credential helper to remove this warning. See
2025-06-05T23:16:22.1753935Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-06-05T23:16:22.1754513Z 
2025-06-05T23:16:22.1754643Z Login Succeeded
2025-06-05T23:16:22.1832524Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-06-05T23:16:22.1833494Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-06-05T23:16:22.1834351Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-06-05T23:16:22.1843064Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:22.1843699Z env:
2025-06-05T23:16:22.1844118Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:22.1844680Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:22.1845125Z   PR_NUMBER: 
2025-06-05T23:16:22.1847382Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:16:22.1849705Z ##[endgroup]
2025-06-05T23:16:22.1934481Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-06-05T23:16:22.1934944Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-06-05T23:16:22.1935328Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}"
2025-06-05T23:16:22.1935663Z mkdir -p "${RUNNER_ARTIFACT_DIR}"
2025-06-05T23:16:22.1936099Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}"
2025-06-05T23:16:22.1936507Z 
2025-06-05T23:16:22.1936800Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results"
2025-06-05T23:16:22.1937204Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}"
2025-06-05T23:16:22.1937563Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}"
2025-06-05T23:16:22.1938047Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}"
2025-06-05T23:16:22.1938476Z 
2025-06-05T23:16:22.1938715Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs"
2025-06-05T23:16:22.1939039Z sudo rm -rf "${RUNNER_DOCS_DIR}"
2025-06-05T23:16:22.1939350Z mkdir -p "${RUNNER_DOCS_DIR}"
2025-06-05T23:16:22.1939730Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}"
2025-06-05T23:16:22.1945164Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:22.1945534Z env:
2025-06-05T23:16:22.1945765Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:22.1946105Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:22.1946383Z   PR_NUMBER: 
2025-06-05T23:16:22.1947477Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:16:22.1948663Z ##[endgroup]
2025-06-05T23:16:22.7335006Z ##[group]Run needs=0
2025-06-05T23:16:22.7335299Z needs=0
2025-06-05T23:16:22.7335652Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then
2025-06-05T23:16:22.7336081Z   needs=1
2025-06-05T23:16:22.7336291Z fi
2025-06-05T23:16:22.7336534Z echo "does=${needs}" >> $GITHUB_OUTPUT
2025-06-05T23:16:22.7342160Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:22.7342529Z env:
2025-06-05T23:16:22.7342759Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:22.7343098Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:22.7343370Z   PR_NUMBER: 
2025-06-05T23:16:22.7344466Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:16:22.7345795Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:16:22.7346378Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:16:22.7346901Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:16:22.7347281Z ##[endgroup]
2025-06-05T23:16:22.7598073Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-06-05T23:16:22.7598651Z # ignore expansion of "docker ps -q" since it could be empty
2025-06-05T23:16:22.7599055Z # shellcheck disable=SC2046
2025-06-05T23:16:22.7599375Z docker stop $(docker ps -q) || true
2025-06-05T23:16:22.7599709Z # Prune all of the docker images
2025-06-05T23:16:22.7600012Z docker system prune -af
2025-06-05T23:16:22.7605533Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:22.7606046Z env:
2025-06-05T23:16:22.7606289Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:22.7606611Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:22.7606985Z   PR_NUMBER: 
2025-06-05T23:16:22.7608078Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:16:22.7609403Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:16:22.7609978Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:16:22.7610505Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:16:22.7610885Z ##[endgroup]
2025-06-05T23:16:22.7834048Z "docker stop" requires at least 1 argument.
2025-06-05T23:16:22.7834452Z See 'docker stop --help'.
2025-06-05T23:16:22.7834623Z 
2025-06-05T23:16:22.7834780Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-06-05T23:16:22.7835042Z 
2025-06-05T23:16:22.7835177Z Stop one or more running containers
2025-06-05T23:16:22.7995639Z Total reclaimed space: 0B
2025-06-05T23:16:22.8068807Z ##[group]Run ./test-infra/.github/actions/setup-ssh
2025-06-05T23:16:22.8069182Z with:
2025-06-05T23:16:22.8069978Z   github-secret: ***
2025-06-05T23:16:22.8070657Z   instructions: All testing is done inside the container, to start an interactive session run:
   docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-06-05T23:16:22.8071406Z   activate-with-label: false
2025-06-05T23:16:22.8071660Z   label: with-ssh
2025-06-05T23:16:22.8071894Z   remove-existing-keys: true
2025-06-05T23:16:22.8072146Z   fail-silently: true
2025-06-05T23:16:22.8072369Z env:
2025-06-05T23:16:22.8072588Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:22.8072922Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:22.8073210Z   PR_NUMBER: 
2025-06-05T23:16:22.8074340Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:16:22.8101517Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:16:22.8102224Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:16:22.8102774Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:16:22.8103145Z ##[endgroup]
2025-06-05T23:16:22.9142064Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-06-05T23:16:22.9143797Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-06-05T23:16:22.9263422Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
2025-06-05T23:16:22.9263849Z with:
2025-06-05T23:16:22.9264059Z   repository: pytorch/executorch
2025-06-05T23:16:22.9264374Z   ref: bd572346e4f196b36aaa03a1645d12b1618fe88b
2025-06-05T23:16:22.9264688Z   path: pytorch/executorch
2025-06-05T23:16:22.9264943Z   fetch-depth: 1
2025-06-05T23:16:22.9265154Z   submodules: recursive
2025-06-05T23:16:22.9265546Z   token: ***
2025-06-05T23:16:22.9265762Z   ssh-strict: true
2025-06-05T23:16:22.9265973Z   ssh-user: git
2025-06-05T23:16:22.9266209Z   persist-credentials: true
2025-06-05T23:16:22.9266457Z   clean: true
2025-06-05T23:16:22.9266697Z   sparse-checkout-cone-mode: true
2025-06-05T23:16:22.9266974Z   fetch-tags: false
2025-06-05T23:16:22.9267200Z   show-progress: true
2025-06-05T23:16:22.9267417Z   lfs: false
2025-06-05T23:16:22.9267633Z   set-safe-directory: true
2025-06-05T23:16:22.9267868Z env:
2025-06-05T23:16:22.9268146Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:22.9268615Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:22.9268888Z   PR_NUMBER: 
2025-06-05T23:16:22.9269976Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:16:22.9271282Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:16:22.9271857Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:16:22.9272378Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:16:22.9272754Z ##[endgroup]
2025-06-05T23:16:23.0204020Z Syncing repository: pytorch/executorch
2025-06-05T23:16:23.0213117Z ##[group]Getting Git version info
2025-06-05T23:16:23.0214150Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch'
2025-06-05T23:16:23.0240506Z [command]/usr/bin/git version
2025-06-05T23:16:23.0273754Z git version 2.47.1
2025-06-05T23:16:23.0298371Z ##[endgroup]
2025-06-05T23:16:23.0311063Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/e3182cf9-4616-4408-8dfe-332d8a4bbf53' before making global git config changes
2025-06-05T23:16:23.0312749Z Adding repository directory to the temporary git global config as a safe directory
2025-06-05T23:16:23.0317446Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-06-05T23:16:23.0346053Z ##[group]Initializing the repository
2025-06-05T23:16:23.0351167Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-06-05T23:16:23.0379219Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-06-05T23:16:23.0380326Z hint: is subject to change. To configure the initial branch name to use in all
2025-06-05T23:16:23.0381284Z hint: of your new repositories, which will suppress this warning, call:
2025-06-05T23:16:23.0381952Z hint:
2025-06-05T23:16:23.0382387Z hint: 	git config --global init.defaultBranch <name>
2025-06-05T23:16:23.0382965Z hint:
2025-06-05T23:16:23.0383491Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-06-05T23:16:23.0384439Z hint: 'development'. The just-created branch can be renamed via this command:
2025-06-05T23:16:23.0385151Z hint:
2025-06-05T23:16:23.0385469Z hint: 	git branch -m <name>
2025-06-05T23:16:23.0386459Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/
2025-06-05T23:16:23.0391765Z [command]/usr/bin/git remote add origin https://github.com/pytorch/executorch
2025-06-05T23:16:23.0414494Z ##[endgroup]
2025-06-05T23:16:23.0415199Z ##[group]Disabling automatic garbage collection
2025-06-05T23:16:23.0419919Z [command]/usr/bin/git config --local gc.auto 0
2025-06-05T23:16:23.0443689Z ##[endgroup]
2025-06-05T23:16:23.0444331Z ##[group]Setting up auth
2025-06-05T23:16:23.0450099Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-06-05T23:16:23.0473984Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-06-05T23:16:23.0716823Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-06-05T23:16:23.0741730Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-06-05T23:16:23.0983752Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-06-05T23:16:23.1020789Z ##[endgroup]
2025-06-05T23:16:23.1021209Z ##[group]Fetching the repository
2025-06-05T23:16:23.1028082Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin bd572346e4f196b36aaa03a1645d12b1618fe88b
2025-06-05T23:16:24.5348493Z From https://github.com/pytorch/executorch
2025-06-05T23:16:24.5348981Z  * branch            bd572346e4f196b36aaa03a1645d12b1618fe88b -> FETCH_HEAD
2025-06-05T23:16:24.5368229Z ##[endgroup]
2025-06-05T23:16:24.5368716Z ##[group]Determining the checkout info
2025-06-05T23:16:24.5370768Z ##[endgroup]
2025-06-05T23:16:24.5375515Z [command]/usr/bin/git sparse-checkout disable
2025-06-05T23:16:24.5414246Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-06-05T23:16:24.5436078Z ##[group]Checking out the ref
2025-06-05T23:16:24.5439569Z [command]/usr/bin/git checkout --progress --force bd572346e4f196b36aaa03a1645d12b1618fe88b
2025-06-05T23:16:25.0319208Z Note: switching to 'bd572346e4f196b36aaa03a1645d12b1618fe88b'.
2025-06-05T23:16:25.0319547Z 
2025-06-05T23:16:25.0319799Z You are in 'detached HEAD' state. You can look around, make experimental
2025-06-05T23:16:25.0320361Z changes and commit them, and you can discard any commits you make in this
2025-06-05T23:16:25.0320885Z state without impacting any branches by switching back to a branch.
2025-06-05T23:16:25.0321209Z 
2025-06-05T23:16:25.0321408Z If you want to create a new branch to retain commits you create, you may
2025-06-05T23:16:25.0321889Z do so (now or later) by using -c with the switch command. Example:
2025-06-05T23:16:25.0322186Z 
2025-06-05T23:16:25.0322297Z   git switch -c <new-branch-name>
2025-06-05T23:16:25.0322490Z 
2025-06-05T23:16:25.0322612Z Or undo this operation with:
2025-06-05T23:16:25.0322785Z 
2025-06-05T23:16:25.0322873Z   git switch -
2025-06-05T23:16:25.0323013Z 
2025-06-05T23:16:25.0323243Z Turn off this advice by setting config variable advice.detachedHead to false
2025-06-05T23:16:25.0323582Z 
2025-06-05T23:16:25.0323844Z HEAD is now at bd57234 Qualcomm AI Engine Direct - QAIRT Visualizer Engagement (#10873)
2025-06-05T23:16:25.0346547Z ##[endgroup]
2025-06-05T23:16:25.0346963Z ##[group]Setting up auth for fetching submodules
2025-06-05T23:16:25.0351982Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-06-05T23:16:25.0388419Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-06-05T23:16:25.0410304Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-06-05T23:16:25.0433680Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-06-05T23:16:25.0452753Z ##[endgroup]
2025-06-05T23:16:25.0453169Z ##[group]Fetching submodules
2025-06-05T23:16:25.0456256Z [command]/usr/bin/git submodule sync --recursive
2025-06-05T23:16:25.0713000Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2025-06-05T23:16:25.0961226Z Submodule 'backends/arm/third-party/ethos-u-core-driver' (https://git.gitlab.arm.com/artificial-intelligence/ethos-u/ethos-u-core-driver.git) registered for path 'backends/arm/third-party/ethos-u-core-driver'
2025-06-05T23:16:25.0963083Z Submodule 'backends/arm/third-party/serialization_lib' (https://git.gitlab.arm.com/tosa/tosa-serialization.git) registered for path 'backends/arm/third-party/serialization_lib'
2025-06-05T23:16:25.0964780Z Submodule 'backends/cadence/utils/FACTO' (https://github.com/pytorch-labs/FACTO.git) registered for path 'backends/cadence/utils/FACTO'
2025-06-05T23:16:25.0967946Z Submodule 'backends/vulkan/third-party/Vulkan-Headers' (https://github.com/KhronosGroup/Vulkan-Headers) registered for path 'backends/vulkan/third-party/Vulkan-Headers'
2025-06-05T23:16:25.0971535Z Submodule 'backends/vulkan/third-party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-06-05T23:16:25.0974341Z Submodule 'backends/vulkan/third-party/volk' (https://github.com/zeux/volk) registered for path 'backends/vulkan/third-party/volk'
2025-06-05T23:16:25.0977591Z Submodule 'backends/xnnpack/third-party/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'backends/xnnpack/third-party/FP16'
2025-06-05T23:16:25.0981095Z Submodule 'backends/xnnpack/third-party/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'backends/xnnpack/third-party/FXdiv'
2025-06-05T23:16:25.0984795Z Submodule 'backends/xnnpack/third-party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'backends/xnnpack/third-party/XNNPACK'
2025-06-05T23:16:25.0988217Z Submodule 'backends/xnnpack/third-party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'backends/xnnpack/third-party/cpuinfo'
2025-06-05T23:16:25.0991843Z Submodule 'backends/xnnpack/third-party/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'backends/xnnpack/third-party/pthreadpool'
2025-06-05T23:16:25.0995276Z Submodule 'extension/llm/tokenizers' (https://github.com/pytorch-labs/tokenizers.git) registered for path 'extension/llm/tokenizers'
2025-06-05T23:16:25.0998992Z Submodule 'kernels/optimized/third-party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'kernels/optimized/third-party/eigen'
2025-06-05T23:16:25.1002720Z Submodule 'shim' (https://github.com/facebook/buck2-shims-meta) registered for path 'shim'
2025-06-05T23:16:25.1007262Z Submodule 'third-party/ao' (https://github.com/pytorch/ao.git) registered for path 'third-party/ao'
2025-06-05T23:16:25.1011463Z Submodule 'third-party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third-party/flatbuffers'
2025-06-05T23:16:25.1017176Z Submodule 'third-party/flatcc' (https://github.com/dvidelabs/flatcc.git) registered for path 'third-party/flatcc'
2025-06-05T23:16:25.1021275Z Submodule 'third-party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third-party/gflags'
2025-06-05T23:16:25.1025537Z Submodule 'third-party/googletest' (https://github.com/google/googletest.git) registered for path 'third-party/googletest'
2025-06-05T23:16:25.1030052Z Submodule 'third-party/ios-cmake' (https://github.com/leetal/ios-cmake) registered for path 'third-party/ios-cmake'
2025-06-05T23:16:25.1034529Z Submodule 'third-party/json' (https://github.com/nlohmann/json.git) registered for path 'third-party/json'
2025-06-05T23:16:25.1039187Z Submodule 'third-party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third-party/pocketfft'
2025-06-05T23:16:25.1043712Z Submodule 'third-party/prelude' (https://github.com/facebook/buck2-prelude.git) registered for path 'third-party/prelude'
2025-06-05T23:16:25.1048334Z Submodule 'third-party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third-party/pybind11'
2025-06-05T23:16:25.1075304Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/ethos-u-core-driver'...
2025-06-05T23:16:25.8960640Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/serialization_lib'...
2025-06-05T23:16:26.5803777Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/cadence/utils/FACTO'...
2025-06-05T23:16:26.7998219Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/Vulkan-Headers'...
2025-06-05T23:16:27.2221763Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/VulkanMemoryAllocator'...
2025-06-05T23:16:27.5197322Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/volk'...
2025-06-05T23:16:27.8088052Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FP16'...
2025-06-05T23:16:28.0893187Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FXdiv'...
2025-06-05T23:16:28.3154504Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/XNNPACK'...
2025-06-05T23:16:28.9763724Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/cpuinfo'...
2025-06-05T23:16:29.5188950Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/pthreadpool'...
2025-06-05T23:16:29.7945088Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers'...
2025-06-05T23:16:30.0779311Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/kernels/optimized/third-party/eigen'...
2025-06-05T23:16:30.7642985Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/shim'...
2025-06-05T23:16:31.0337950Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ao'...
2025-06-05T23:16:31.5258977Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatbuffers'...
2025-06-05T23:16:31.8458128Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatcc'...
2025-06-05T23:16:32.0760050Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/gflags'...
2025-06-05T23:16:32.3471324Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/googletest'...
2025-06-05T23:16:32.5952736Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ios-cmake'...
2025-06-05T23:16:32.7939291Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/json'...
2025-06-05T23:16:33.1764565Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pocketfft'...
2025-06-05T23:16:33.3989924Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/prelude'...
2025-06-05T23:16:33.8203897Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pybind11'...
2025-06-05T23:16:35.2899471Z From https://git.gitlab.arm.com/artificial-intelligence/ethos-u/ethos-u-core-driver
2025-06-05T23:16:35.2900123Z  * branch            7bf44c54527e718b99d588ce520cf2f96343adb1 -> FETCH_HEAD
2025-06-05T23:16:35.3006088Z Submodule path 'backends/arm/third-party/ethos-u-core-driver': checked out '7bf44c54527e718b99d588ce520cf2f96343adb1'
2025-06-05T23:16:36.6843210Z From https://git.gitlab.arm.com/tosa/tosa-serialization
2025-06-05T23:16:36.6843731Z  * branch            187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2 -> FETCH_HEAD
2025-06-05T23:16:36.6951523Z Submodule path 'backends/arm/third-party/serialization_lib': checked out '187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2'
2025-06-05T23:16:36.6966010Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'backends/arm/third-party/serialization_lib/third_party/flatbuffers'
2025-06-05T23:16:36.6991109Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers'...
2025-06-05T23:16:37.7502134Z From https://github.com/google/flatbuffers
2025-06-05T23:16:37.7502661Z  * branch            0100f6a5779831fa7a651e4b67ef389a8752bd9b -> FETCH_HEAD
2025-06-05T23:16:37.8525600Z Submodule path 'backends/arm/third-party/serialization_lib/third_party/flatbuffers': checked out '0100f6a5779831fa7a651e4b67ef389a8752bd9b'
2025-06-05T23:16:38.3854080Z From https://github.com/pytorch-labs/FACTO
2025-06-05T23:16:38.3854573Z  * branch            1db37fc79d0d59638cbb794fa49d878aafc24461 -> FETCH_HEAD
2025-06-05T23:16:38.3931125Z Submodule path 'backends/cadence/utils/FACTO': checked out '1db37fc79d0d59638cbb794fa49d878aafc24461'
2025-06-05T23:16:39.1556060Z From https://github.com/KhronosGroup/Vulkan-Headers
2025-06-05T23:16:39.1556584Z  * branch            0c5928795a66e93f65e5e68a36d8daa79a209dc2 -> FETCH_HEAD
2025-06-05T23:16:39.2052148Z Submodule path 'backends/vulkan/third-party/Vulkan-Headers': checked out '0c5928795a66e93f65e5e68a36d8daa79a209dc2'
2025-06-05T23:16:39.9789815Z From https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator
2025-06-05T23:16:39.9790423Z  * branch            a6bfc237255a6bac1513f7c1ebde6d8aed6b5191 -> FETCH_HEAD
2025-06-05T23:16:40.0100981Z Submodule path 'backends/vulkan/third-party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191'
2025-06-05T23:16:40.4131319Z From https://github.com/zeux/volk
2025-06-05T23:16:40.4131802Z  * branch            b3bc21e584f97400b6884cb2a541a56c6a5ddba3 -> FETCH_HEAD
2025-06-05T23:16:40.4200799Z Submodule path 'backends/vulkan/third-party/volk': checked out 'b3bc21e584f97400b6884cb2a541a56c6a5ddba3'
2025-06-05T23:16:41.0114943Z From https://github.com/Maratyszcza/FP16
2025-06-05T23:16:41.0115553Z  * branch            4dfe081cf6bcd15db339cf2680b9281b8451eeb3 -> FETCH_HEAD
2025-06-05T23:16:41.0198868Z Submodule path 'backends/xnnpack/third-party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-06-05T23:16:41.5171559Z From https://github.com/Maratyszcza/FXdiv
2025-06-05T23:16:41.5172040Z  * branch            b408327ac2a15ec3e43352421954f5b1967701d1 -> FETCH_HEAD
2025-06-05T23:16:41.5224845Z Submodule path 'backends/xnnpack/third-party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-06-05T23:16:43.0737791Z From https://github.com/google/XNNPACK
2025-06-05T23:16:43.0738284Z  * branch              4ea82e595b36106653175dcb04b2aa532660d0d8 -> FETCH_HEAD
2025-06-05T23:16:43.6590378Z Submodule path 'backends/xnnpack/third-party/XNNPACK': checked out '4ea82e595b36106653175dcb04b2aa532660d0d8'
2025-06-05T23:16:44.1990850Z From https://github.com/pytorch/cpuinfo
2025-06-05T23:16:44.1991344Z  * branch            c61fe919607bbc534d7a5a5707bdd7041e72c5ff -> FETCH_HEAD
2025-06-05T23:16:44.2813479Z Submodule path 'backends/xnnpack/third-party/cpuinfo': checked out 'c61fe919607bbc534d7a5a5707bdd7041e72c5ff'
2025-06-05T23:16:44.7487443Z From https://github.com/Maratyszcza/pthreadpool
2025-06-05T23:16:44.7487979Z  * branch            4fe0e1e183925bf8cfa6aae24237e724a96479b8 -> FETCH_HEAD
2025-06-05T23:16:44.7565210Z Submodule path 'backends/xnnpack/third-party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-06-05T23:16:45.2398211Z From https://github.com/pytorch-labs/tokenizers
2025-06-05T23:16:45.2398735Z  * branch            fc5962cd9e08019c5df6667eba3377e7d76441f7 -> FETCH_HEAD
2025-06-05T23:16:45.2638616Z Submodule path 'extension/llm/tokenizers': checked out 'fc5962cd9e08019c5df6667eba3377e7d76441f7'
2025-06-05T23:16:45.2654628Z Submodule 'third-party/abseil-cpp' (https://github.com/abseil/abseil-cpp.git) registered for path 'extension/llm/tokenizers/third-party/abseil-cpp'
2025-06-05T23:16:45.2656244Z Submodule 'third-party/json' (https://github.com/nlohmann/json.git) registered for path 'extension/llm/tokenizers/third-party/json'
2025-06-05T23:16:45.2658783Z Submodule 'third-party/pcre2' (https://github.com/PCRE2Project/pcre2.git) registered for path 'extension/llm/tokenizers/third-party/pcre2'
2025-06-05T23:16:45.2661188Z Submodule 'third-party/re2' (https://github.com/google/re2.git) registered for path 'extension/llm/tokenizers/third-party/re2'
2025-06-05T23:16:45.2663894Z Submodule 'third-party/sentencepiece' (https://github.com/google/sentencepiece.git) registered for path 'extension/llm/tokenizers/third-party/sentencepiece'
2025-06-05T23:16:45.2689262Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/abseil-cpp'...
2025-06-05T23:16:45.6794936Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/json'...
2025-06-05T23:16:46.0477402Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/pcre2'...
2025-06-05T23:16:46.6358682Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/re2'...
2025-06-05T23:16:46.8811773Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/sentencepiece'...
2025-06-05T23:16:48.0862595Z From https://github.com/abseil/abseil-cpp
2025-06-05T23:16:48.0863092Z  * branch            7d96b2e93d9a84530748b68abd2f97595c51ecf4 -> FETCH_HEAD
2025-06-05T23:16:48.1813920Z Submodule path 'extension/llm/tokenizers/third-party/abseil-cpp': checked out '7d96b2e93d9a84530748b68abd2f97595c51ecf4'
2025-06-05T23:16:48.8616151Z From https://github.com/nlohmann/json
2025-06-05T23:16:48.8616663Z  * branch            e6cafa573aac6ed9227f752a5371c0b3f436307d -> FETCH_HEAD
2025-06-05T23:16:48.9533850Z Submodule path 'extension/llm/tokenizers/third-party/json': checked out 'e6cafa573aac6ed9227f752a5371c0b3f436307d'
2025-06-05T23:16:49.4886841Z From https://github.com/PCRE2Project/pcre2
2025-06-05T23:16:49.4887347Z  * branch            2e03e323339ab692640626f02f8d8d6f95bff9c6 -> FETCH_HEAD
2025-06-05T23:16:49.5602434Z Submodule path 'extension/llm/tokenizers/third-party/pcre2': checked out '2e03e323339ab692640626f02f8d8d6f95bff9c6'
2025-06-05T23:16:49.5618391Z Submodule 'deps/sljit' (https://github.com/zherczeg/sljit.git) registered for path 'extension/llm/tokenizers/third-party/pcre2/deps/sljit'
2025-06-05T23:16:49.5644380Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/pcre2/deps/sljit'...
2025-06-05T23:16:50.3424887Z From https://github.com/zherczeg/sljit
2025-06-05T23:16:50.3425392Z  * branch            98802d939be3f0ccc2c538d611ec4c728564e8cf -> FETCH_HEAD
2025-06-05T23:16:50.3610895Z Submodule path 'extension/llm/tokenizers/third-party/pcre2/deps/sljit': checked out '98802d939be3f0ccc2c538d611ec4c728564e8cf'
2025-06-05T23:16:50.8367553Z From https://github.com/google/re2
2025-06-05T23:16:50.8368400Z  * branch            6dcd83d60f7944926bfd308cc13979fc53dd69ca -> FETCH_HEAD
2025-06-05T23:16:50.8530452Z Submodule path 'extension/llm/tokenizers/third-party/re2': checked out '6dcd83d60f7944926bfd308cc13979fc53dd69ca'
2025-06-05T23:16:51.5065933Z From https://github.com/google/sentencepiece
2025-06-05T23:16:51.5066704Z  * branch            d8f741853847553169444afc12c00f4bbff3e9ce -> FETCH_HEAD
2025-06-05T23:16:51.6341231Z Submodule path 'extension/llm/tokenizers/third-party/sentencepiece': checked out 'd8f741853847553169444afc12c00f4bbff3e9ce'
2025-06-05T23:16:53.3222558Z From https://gitlab.com/libeigen/eigen
2025-06-05T23:16:53.3223049Z  * branch            a39ade4ccf99df845ec85c580fbbb324f71952fa -> FETCH_HEAD
2025-06-05T23:16:53.4441621Z Submodule path 'kernels/optimized/third-party/eigen': checked out 'a39ade4ccf99df845ec85c580fbbb324f71952fa'
2025-06-05T23:16:54.0973700Z From https://github.com/facebook/buck2-shims-meta
2025-06-05T23:16:54.0974220Z  * branch            cf6a954aae4bee7b4515e13475878460115027d1 -> FETCH_HEAD
2025-06-05T23:16:54.1239950Z Submodule path 'shim': checked out 'cf6a954aae4bee7b4515e13475878460115027d1'
2025-06-05T23:16:54.7401800Z From https://github.com/pytorch/ao
2025-06-05T23:16:54.7402510Z  * branch            bc68b11f1bf77be38721ca7dd2c477aeb5e6626e -> FETCH_HEAD
2025-06-05T23:16:54.8316330Z Submodule path 'third-party/ao': checked out 'bc68b11f1bf77be38721ca7dd2c477aeb5e6626e'
2025-06-05T23:16:54.8336213Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass) registered for path 'third-party/ao/third_party/cutlass'
2025-06-05T23:16:54.8361017Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ao/third_party/cutlass'...
2025-06-05T23:16:56.5163816Z From https://github.com/NVIDIA/cutlass
2025-06-05T23:16:56.5164332Z  * branch            ad7b2f5e84fcfa124cb02b91d5bd26d238c0459e -> FETCH_HEAD
2025-06-05T23:16:57.0624168Z Submodule path 'third-party/ao/third_party/cutlass': checked out 'ad7b2f5e84fcfa124cb02b91d5bd26d238c0459e'
2025-06-05T23:16:57.9675670Z From https://github.com/google/flatbuffers
2025-06-05T23:16:57.9676494Z  * branch            595bf0007ab1929570c7671f091313c8fc20644e -> FETCH_HEAD
2025-06-05T23:16:58.0686808Z Submodule path 'third-party/flatbuffers': checked out '595bf0007ab1929570c7671f091313c8fc20644e'
2025-06-05T23:16:58.6853952Z From https://github.com/dvidelabs/flatcc
2025-06-05T23:16:58.6854463Z  * branch            896db54787e8b730a6be482c69324751f3f5f117 -> FETCH_HEAD
2025-06-05T23:16:58.7096171Z Submodule path 'third-party/flatcc': checked out '896db54787e8b730a6be482c69324751f3f5f117'
2025-06-05T23:16:59.2789207Z From https://github.com/gflags/gflags
2025-06-05T23:16:59.2789737Z  * branch            a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd -> FETCH_HEAD
2025-06-05T23:16:59.2885005Z Submodule path 'third-party/gflags': checked out 'a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd'
2025-06-05T23:16:59.9478625Z From https://github.com/google/googletest
2025-06-05T23:16:59.9479100Z  * branch            e2239ee6043f73722e7aa812a459f54a28552929 -> FETCH_HEAD
2025-06-05T23:16:59.9819386Z Submodule path 'third-party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-06-05T23:17:00.4136117Z From https://github.com/leetal/ios-cmake
2025-06-05T23:17:00.4136663Z  * branch            06465b27698424cf4a04a5ca4904d50a3c966c45 -> FETCH_HEAD
2025-06-05T23:17:00.4205417Z Submodule path 'third-party/ios-cmake': checked out '06465b27698424cf4a04a5ca4904d50a3c966c45'
2025-06-05T23:17:00.9808201Z From https://github.com/nlohmann/json
2025-06-05T23:17:00.9808686Z  * branch            ac0133ea89a8fd730a9cc9649c5226a9995dc3e1 -> FETCH_HEAD
2025-06-05T23:17:01.0705057Z Submodule path 'third-party/json': checked out 'ac0133ea89a8fd730a9cc9649c5226a9995dc3e1'
2025-06-05T23:17:01.0795095Z Submodule path 'third-party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-06-05T23:17:01.7172025Z From https://github.com/facebook/buck2-prelude
2025-06-05T23:17:01.7172533Z  * branch            48c249f8c7b99ff501d6e857754760315072b306 -> FETCH_HEAD
2025-06-05T23:17:01.8533883Z Submodule path 'third-party/prelude': checked out '48c249f8c7b99ff501d6e857754760315072b306'
2025-06-05T23:17:02.4648315Z From https://github.com/pybind/pybind11
2025-06-05T23:17:02.4648804Z  * branch            a2e59f0e7065404b44dfe92a28aca47ba1378dc4 -> FETCH_HEAD
2025-06-05T23:17:02.4928375Z Submodule path 'third-party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-06-05T23:17:02.4961835Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-06-05T23:17:02.5221904Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-06-05T23:17:02.5260713Z Entering 'backends/arm/third-party/serialization_lib'
2025-06-05T23:17:02.5297949Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers'
2025-06-05T23:17:02.5342058Z Entering 'backends/cadence/utils/FACTO'
2025-06-05T23:17:02.5380447Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-06-05T23:17:02.5418462Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-06-05T23:17:02.5456222Z Entering 'backends/vulkan/third-party/volk'
2025-06-05T23:17:02.5492783Z Entering 'backends/xnnpack/third-party/FP16'
2025-06-05T23:17:02.5530233Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-06-05T23:17:02.5567752Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-06-05T23:17:02.5620806Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-06-05T23:17:02.5659053Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-06-05T23:17:02.5695037Z Entering 'extension/llm/tokenizers'
2025-06-05T23:17:02.5732172Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp'
2025-06-05T23:17:02.5771145Z Entering 'extension/llm/tokenizers/third-party/json'
2025-06-05T23:17:02.5809314Z Entering 'extension/llm/tokenizers/third-party/pcre2'
2025-06-05T23:17:02.5845860Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit'
2025-06-05T23:17:02.5884940Z Entering 'extension/llm/tokenizers/third-party/re2'
2025-06-05T23:17:02.5923086Z Entering 'extension/llm/tokenizers/third-party/sentencepiece'
2025-06-05T23:17:02.5963125Z Entering 'kernels/optimized/third-party/eigen'
2025-06-05T23:17:02.6003442Z Entering 'shim'
2025-06-05T23:17:02.6042106Z Entering 'third-party/ao'
2025-06-05T23:17:02.6080626Z Entering 'third-party/ao/third_party/cutlass'
2025-06-05T23:17:02.6127774Z Entering 'third-party/flatbuffers'
2025-06-05T23:17:02.6170214Z Entering 'third-party/flatcc'
2025-06-05T23:17:02.6207079Z Entering 'third-party/gflags'
2025-06-05T23:17:02.6244174Z Entering 'third-party/googletest'
2025-06-05T23:17:02.6281434Z Entering 'third-party/ios-cmake'
2025-06-05T23:17:02.6317819Z Entering 'third-party/json'
2025-06-05T23:17:02.6356030Z Entering 'third-party/pocketfft'
2025-06-05T23:17:02.6392927Z Entering 'third-party/prelude'
2025-06-05T23:17:02.6434638Z Entering 'third-party/pybind11'
2025-06-05T23:17:02.6481427Z ##[endgroup]
2025-06-05T23:17:02.6483812Z ##[group]Persisting credentials for submodules
2025-06-05T23:17:02.6488778Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2025-06-05T23:17:02.6737383Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-06-05T23:17:02.6787081Z Entering 'backends/arm/third-party/serialization_lib'
2025-06-05T23:17:02.6835388Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers'
2025-06-05T23:17:02.6888390Z Entering 'backends/cadence/utils/FACTO'
2025-06-05T23:17:02.6937946Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-06-05T23:17:02.6987658Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-06-05T23:17:02.7038158Z Entering 'backends/vulkan/third-party/volk'
2025-06-05T23:17:02.7087662Z Entering 'backends/xnnpack/third-party/FP16'
2025-06-05T23:17:02.7137446Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-06-05T23:17:02.7186125Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-06-05T23:17:02.7250904Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-06-05T23:17:02.7300630Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-06-05T23:17:02.7348966Z Entering 'extension/llm/tokenizers'
2025-06-05T23:17:02.7397714Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp'
2025-06-05T23:17:02.7449940Z Entering 'extension/llm/tokenizers/third-party/json'
2025-06-05T23:17:02.7500923Z Entering 'extension/llm/tokenizers/third-party/pcre2'
2025-06-05T23:17:02.7549526Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit'
2025-06-05T23:17:02.7600797Z Entering 'extension/llm/tokenizers/third-party/re2'
2025-06-05T23:17:02.7648849Z Entering 'extension/llm/tokenizers/third-party/sentencepiece'
2025-06-05T23:17:02.7698036Z Entering 'kernels/optimized/third-party/eigen'
2025-06-05T23:17:02.7750235Z Entering 'shim'
2025-06-05T23:17:02.7798776Z Entering 'third-party/ao'
2025-06-05T23:17:02.7848729Z Entering 'third-party/ao/third_party/cutlass'
2025-06-05T23:17:02.7907582Z Entering 'third-party/flatbuffers'
2025-06-05T23:17:02.7959410Z Entering 'third-party/flatcc'
2025-06-05T23:17:02.8007159Z Entering 'third-party/gflags'
2025-06-05T23:17:02.8056077Z Entering 'third-party/googletest'
2025-06-05T23:17:02.8104755Z Entering 'third-party/ios-cmake'
2025-06-05T23:17:02.8153304Z Entering 'third-party/json'
2025-06-05T23:17:02.8203240Z Entering 'third-party/pocketfft'
2025-06-05T23:17:02.8253618Z Entering 'third-party/prelude'
2025-06-05T23:17:02.8305584Z Entering 'third-party/pybind11'
2025-06-05T23:17:02.8365956Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-06-05T23:17:02.8615989Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-06-05T23:17:02.8663527Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/config	remote.origin.url
2025-06-05T23:17:02.8677178Z Entering 'backends/arm/third-party/serialization_lib'
2025-06-05T23:17:02.8725279Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/config	remote.origin.url
2025-06-05T23:17:02.8737686Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers'
2025-06-05T23:17:02.8785888Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/modules/third_party/flatbuffers/config	remote.origin.url
2025-06-05T23:17:02.8804567Z Entering 'backends/cadence/utils/FACTO'
2025-06-05T23:17:02.8851115Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/config	remote.origin.url
2025-06-05T23:17:02.8864681Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-06-05T23:17:02.8910667Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/config	remote.origin.url
2025-06-05T23:17:02.8923870Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-06-05T23:17:02.8969761Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/config	remote.origin.url
2025-06-05T23:17:02.8984780Z Entering 'backends/vulkan/third-party/volk'
2025-06-05T23:17:02.9030836Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/config	remote.origin.url
2025-06-05T23:17:02.9045098Z Entering 'backends/xnnpack/third-party/FP16'
2025-06-05T23:17:02.9090496Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/config	remote.origin.url
2025-06-05T23:17:02.9104476Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-06-05T23:17:02.9149884Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/config	remote.origin.url
2025-06-05T23:17:02.9163853Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-06-05T23:17:02.9209378Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/config	remote.origin.url
2025-06-05T23:17:02.9239061Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-06-05T23:17:02.9284836Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/config	remote.origin.url
2025-06-05T23:17:02.9300039Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-06-05T23:17:02.9345896Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/config	remote.origin.url
2025-06-05T23:17:02.9359904Z Entering 'extension/llm/tokenizers'
2025-06-05T23:17:02.9405825Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/config	remote.origin.url
2025-06-05T23:17:02.9419525Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp'
2025-06-05T23:17:02.9467773Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/abseil-cpp/config	remote.origin.url
2025-06-05T23:17:02.9483705Z Entering 'extension/llm/tokenizers/third-party/json'
2025-06-05T23:17:02.9531409Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/config	remote.origin.url
2025-06-05T23:17:02.9547108Z Entering 'extension/llm/tokenizers/third-party/pcre2'
2025-06-05T23:17:02.9593697Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/config	remote.origin.url
2025-06-05T23:17:02.9607283Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit'
2025-06-05T23:17:02.9654410Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/modules/deps/sljit/config	remote.origin.url
2025-06-05T23:17:02.9670134Z Entering 'extension/llm/tokenizers/third-party/re2'
2025-06-05T23:17:02.9716547Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/config	remote.origin.url
2025-06-05T23:17:02.9729678Z Entering 'extension/llm/tokenizers/third-party/sentencepiece'
2025-06-05T23:17:02.9775706Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/config	remote.origin.url
2025-06-05T23:17:02.9791907Z Entering 'kernels/optimized/third-party/eigen'
2025-06-05T23:17:02.9839754Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/config	remote.origin.url
2025-06-05T23:17:02.9856159Z Entering 'shim'
2025-06-05T23:17:02.9902307Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/shim/config	remote.origin.url
2025-06-05T23:17:02.9916548Z Entering 'third-party/ao'
2025-06-05T23:17:02.9962323Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/config	remote.origin.url
2025-06-05T23:17:02.9976393Z Entering 'third-party/ao/third_party/cutlass'
2025-06-05T23:17:03.0022107Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/config	remote.origin.url
2025-06-05T23:17:03.0046950Z Entering 'third-party/flatbuffers'
2025-06-05T23:17:03.0092374Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/config	remote.origin.url
2025-06-05T23:17:03.0108636Z Entering 'third-party/flatcc'
2025-06-05T23:17:03.0154059Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/config	remote.origin.url
2025-06-05T23:17:03.0168057Z Entering 'third-party/gflags'
2025-06-05T23:17:03.0214542Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/config	remote.origin.url
2025-06-05T23:17:03.0228164Z Entering 'third-party/googletest'
2025-06-05T23:17:03.0274363Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/config	remote.origin.url
2025-06-05T23:17:03.0288498Z Entering 'third-party/ios-cmake'
2025-06-05T23:17:03.0335826Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/config	remote.origin.url
2025-06-05T23:17:03.0349570Z Entering 'third-party/json'
2025-06-05T23:17:03.0394662Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/config	remote.origin.url
2025-06-05T23:17:03.0409786Z Entering 'third-party/pocketfft'
2025-06-05T23:17:03.0455442Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/config	remote.origin.url
2025-06-05T23:17:03.0469240Z Entering 'third-party/prelude'
2025-06-05T23:17:03.0516027Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/config	remote.origin.url
2025-06-05T23:17:03.0533250Z Entering 'third-party/pybind11'
2025-06-05T23:17:03.0578267Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/config	remote.origin.url
2025-06-05T23:17:03.0845273Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-06-05T23:17:03.1097745Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-06-05T23:17:03.1135540Z Entering 'backends/arm/third-party/serialization_lib'
2025-06-05T23:17:03.1172569Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers'
2025-06-05T23:17:03.1215263Z Entering 'backends/cadence/utils/FACTO'
2025-06-05T23:17:03.1253440Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-06-05T23:17:03.1290679Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-06-05T23:17:03.1327554Z Entering 'backends/vulkan/third-party/volk'
2025-06-05T23:17:03.1364184Z Entering 'backends/xnnpack/third-party/FP16'
2025-06-05T23:17:03.1400824Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-06-05T23:17:03.1439489Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-06-05T23:17:03.1491532Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-06-05T23:17:03.1529192Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-06-05T23:17:03.1566054Z Entering 'extension/llm/tokenizers'
2025-06-05T23:17:03.1602295Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp'
2025-06-05T23:17:03.1641563Z Entering 'extension/llm/tokenizers/third-party/json'
2025-06-05T23:17:03.1680033Z Entering 'extension/llm/tokenizers/third-party/pcre2'
2025-06-05T23:17:03.1716748Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit'
2025-06-05T23:17:03.1756131Z Entering 'extension/llm/tokenizers/third-party/re2'
2025-06-05T23:17:03.1792643Z Entering 'extension/llm/tokenizers/third-party/sentencepiece'
2025-06-05T23:17:03.1830920Z Entering 'kernels/optimized/third-party/eigen'
2025-06-05T23:17:03.1869812Z Entering 'shim'
2025-06-05T23:17:03.1906883Z Entering 'third-party/ao'
2025-06-05T23:17:03.1944158Z Entering 'third-party/ao/third_party/cutlass'
2025-06-05T23:17:03.1992045Z Entering 'third-party/flatbuffers'
2025-06-05T23:17:03.2031316Z Entering 'third-party/flatcc'
2025-06-05T23:17:03.2068555Z Entering 'third-party/gflags'
2025-06-05T23:17:03.2104566Z Entering 'third-party/googletest'
2025-06-05T23:17:03.2141059Z Entering 'third-party/ios-cmake'
2025-06-05T23:17:03.2177946Z Entering 'third-party/json'
2025-06-05T23:17:03.2215644Z Entering 'third-party/pocketfft'
2025-06-05T23:17:03.2253606Z Entering 'third-party/prelude'
2025-06-05T23:17:03.2292849Z Entering 'third-party/pybind11'
2025-06-05T23:17:03.2342067Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-06-05T23:17:03.2585953Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-06-05T23:17:03.2622986Z Entering 'backends/arm/third-party/serialization_lib'
2025-06-05T23:17:03.2659387Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers'
2025-06-05T23:17:03.2700548Z Entering 'backends/cadence/utils/FACTO'
2025-06-05T23:17:03.2739759Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-06-05T23:17:03.2777315Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-06-05T23:17:03.2814279Z Entering 'backends/vulkan/third-party/volk'
2025-06-05T23:17:03.2851127Z Entering 'backends/xnnpack/third-party/FP16'
2025-06-05T23:17:03.2887748Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-06-05T23:17:03.2924211Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-06-05T23:17:03.2976713Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-06-05T23:17:03.3014129Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-06-05T23:17:03.3052341Z Entering 'extension/llm/tokenizers'
2025-06-05T23:17:03.3089458Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp'
2025-06-05T23:17:03.3129836Z Entering 'extension/llm/tokenizers/third-party/json'
2025-06-05T23:17:03.3169161Z Entering 'extension/llm/tokenizers/third-party/pcre2'
2025-06-05T23:17:03.3205775Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit'
2025-06-05T23:17:03.3245524Z Entering 'extension/llm/tokenizers/third-party/re2'
2025-06-05T23:17:03.3283717Z Entering 'extension/llm/tokenizers/third-party/sentencepiece'
2025-06-05T23:17:03.3322505Z Entering 'kernels/optimized/third-party/eigen'
2025-06-05T23:17:03.3364007Z Entering 'shim'
2025-06-05T23:17:03.3402293Z Entering 'third-party/ao'
2025-06-05T23:17:03.3440267Z Entering 'third-party/ao/third_party/cutlass'
2025-06-05T23:17:03.3488480Z Entering 'third-party/flatbuffers'
2025-06-05T23:17:03.3528461Z Entering 'third-party/flatcc'
2025-06-05T23:17:03.3566352Z Entering 'third-party/gflags'
2025-06-05T23:17:03.3602965Z Entering 'third-party/googletest'
2025-06-05T23:17:03.3639536Z Entering 'third-party/ios-cmake'
2025-06-05T23:17:03.3675638Z Entering 'third-party/json'
2025-06-05T23:17:03.3713656Z Entering 'third-party/pocketfft'
2025-06-05T23:17:03.3750600Z Entering 'third-party/prelude'
2025-06-05T23:17:03.3790028Z Entering 'third-party/pybind11'
2025-06-05T23:17:03.3836277Z ##[endgroup]
2025-06-05T23:17:03.3870988Z [command]/usr/bin/git log -1 --format=%H
2025-06-05T23:17:03.3889985Z bd572346e4f196b36aaa03a1645d12b1618fe88b
2025-06-05T23:17:03.4090153Z Prepare all required actions
2025-06-05T23:17:03.4090695Z Getting action download info
2025-06-05T23:17:03.5149339Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-06-05T23:17:03.6496198Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image
2025-06-05T23:17:03.6496579Z with:
2025-06-05T23:17:03.6496840Z   docker-image-name: executorch-ubuntu-22.04-gcc9
2025-06-05T23:17:03.6497197Z   docker-build-dir: .ci/docker
2025-06-05T23:17:03.6497477Z   working-directory: pytorch/executorch
2025-06-05T23:17:03.6497793Z   docker-build-script: ./build.sh
2025-06-05T23:17:03.6498160Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:17:03.6498550Z   force-push: false
2025-06-05T23:17:03.6498765Z env:
2025-06-05T23:17:03.6498995Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:17:03.6499313Z   REPOSITORY: pytorch/executorch
2025-06-05T23:17:03.6499583Z   PR_NUMBER: 
2025-06-05T23:17:03.6500710Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:17:03.6502011Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:17:03.6502585Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:17:03.6503106Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:17:03.6503485Z ##[endgroup]
2025-06-05T23:17:03.6525171Z ##[group]Run set -ex
2025-06-05T23:17:03.6525471Z set -ex
2025-06-05T23:17:03.6525694Z 
2025-06-05T23:17:03.6526080Z # If the docker build directory or the build script doesn't exist, the action will
2025-06-05T23:17:03.6526744Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-06-05T23:17:03.6527302Z # job could then download the pre-built image as usual
2025-06-05T23:17:03.6527833Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]]; then
2025-06-05T23:17:03.6528335Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-06-05T23:17:03.6528994Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-06-05T23:17:03.6529401Z 
2025-06-05T23:17:03.6529744Z   echo "There is no Docker build script in ${REPO_NAME} repo, skipping..."
2025-06-05T23:17:03.6530157Z   exit 0
2025-06-05T23:17:03.6530376Z else
2025-06-05T23:17:03.6530613Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-06-05T23:17:03.6531078Z fi
2025-06-05T23:17:03.6531265Z 
2025-06-05T23:17:03.6531588Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-06-05T23:17:03.6532163Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-06-05T23:17:03.6532684Z   # use it as it is, but first let's extract the tag
2025-06-05T23:17:03.6533222Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-06-05T23:17:03.6533698Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-06-05T23:17:03.6534169Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-06-05T23:17:03.6534547Z else
2025-06-05T23:17:03.6534795Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-06-05T23:17:03.6535166Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-06-05T23:17:03.6535530Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-06-05T23:17:03.6535858Z   fi
2025-06-05T23:17:03.6536283Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-06-05T23:17:03.6537014Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-06-05T23:17:03.6537643Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-06-05T23:17:03.6538319Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-06-05T23:17:03.6538737Z fi
2025-06-05T23:17:03.6544283Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:17:03.6544646Z env:
2025-06-05T23:17:03.6544875Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:17:03.6545213Z   REPOSITORY: pytorch/executorch
2025-06-05T23:17:03.6545472Z   PR_NUMBER: 
2025-06-05T23:17:03.6546570Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:17:03.6547885Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:17:03.6548443Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:17:03.6548976Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:17:03.6549350Z   REPO_NAME: executorch
2025-06-05T23:17:03.6549644Z   DOCKER_IMAGE_NAME: executorch-ubuntu-22.04-gcc9
2025-06-05T23:17:03.6549992Z   DOCKER_BUILD_DIR: .ci/docker
2025-06-05T23:17:03.6550255Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-06-05T23:17:03.6550624Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:17:03.6550992Z   CUSTOM_TAG_PREFIX: 
2025-06-05T23:17:03.6551226Z ##[endgroup]
2025-06-05T23:17:03.6576356Z + [[ ! -d .ci/docker ]]
2025-06-05T23:17:03.6576826Z + [[ ! -f .ci/docker/./build.sh ]]
2025-06-05T23:17:03.6577336Z + echo skip=false
2025-06-05T23:17:03.6578344Z + [[ executorch-ubuntu-22.04-gcc9 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\e\x\e\c\u\t\o\r\c\h* ]]
2025-06-05T23:17:03.6579212Z + [[ executorch-ubuntu-22.04-gcc9 == *:* ]]
2025-06-05T23:17:03.6581591Z ++ git rev-parse HEAD:.ci/docker
2025-06-05T23:17:03.6596635Z + DOCKER_TAG=6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:17:03.6597390Z + echo docker-tag=6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:17:03.6598819Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:17:03.6599945Z + echo custom-tag-prefix=
2025-06-05T23:17:03.6629737Z ##[group]Run set +e
2025-06-05T23:17:03.6630066Z set +e
2025-06-05T23:17:03.6630273Z set -x
2025-06-05T23:17:03.6630521Z 
2025-06-05T23:17:03.6630711Z login() {
2025-06-05T23:17:03.6631288Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-06-05T23:17:03.6631784Z }
2025-06-05T23:17:03.6631983Z 
2025-06-05T23:17:03.6632175Z retry () {
2025-06-05T23:17:03.6632432Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-06-05T23:17:03.6632723Z }
2025-06-05T23:17:03.6632923Z 
2025-06-05T23:17:03.6633133Z retry login "${DOCKER_REGISTRY}"
2025-06-05T23:17:03.6633432Z 
2025-06-05T23:17:03.6633643Z START_TIME=$(date +%s)
2025-06-05T23:17:03.6633924Z # Wait up to 120 minutes
2025-06-05T23:17:03.6634272Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-06-05T23:17:03.6634738Z   # Check if image already exists, if it does then skip building it
2025-06-05T23:17:03.6635214Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-06-05T23:17:03.6635553Z     exit 0
2025-06-05T23:17:03.6635780Z   fi
2025-06-05T23:17:03.6635986Z 
2025-06-05T23:17:03.6636341Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-06-05T23:17:03.6637086Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-06-05T23:17:03.6637720Z   # latter, it will wait for the Docker images to become available before continuing
2025-06-05T23:17:03.6638232Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-06-05T23:17:03.6638626Z     # It's a Docker build job, let's build the image
2025-06-05T23:17:03.6638953Z     break
2025-06-05T23:17:03.6639182Z   else
2025-06-05T23:17:03.6639497Z     # It's a regular build job, wait for the image to become available
2025-06-05T23:17:03.6639898Z     sleep 300
2025-06-05T23:17:03.6640120Z   fi
2025-06-05T23:17:03.6640324Z done
2025-06-05T23:17:03.6640514Z 
2025-06-05T23:17:03.6640851Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-06-05T23:17:03.6641407Z # be empty.  The default action would be to continue rebuild the image
2025-06-05T23:17:03.6641893Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-06-05T23:17:03.6642332Z   # if we're on the base branch then use the parent commit
2025-06-05T23:17:03.6642707Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-06-05T23:17:03.6643013Z else
2025-06-05T23:17:03.6643310Z   # otherwise we're on a PR, so use the most recent base commit
2025-06-05T23:17:03.6643766Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-06-05T23:17:03.6644115Z fi
2025-06-05T23:17:03.6644302Z 
2025-06-05T23:17:03.6644522Z if [[ -z "${MERGE_BASE}" ]]; then
2025-06-05T23:17:03.6644854Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-06-05T23:17:03.6645172Z 
2025-06-05T23:17:03.6645613Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-06-05T23:17:03.6646151Z   exit 0
2025-06-05T23:17:03.6646369Z fi
2025-06-05T23:17:03.6646555Z 
2025-06-05T23:17:03.6646847Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-06-05T23:17:03.6647497Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-06-05T23:17:03.6648063Z   exit 1
2025-06-05T23:17:03.6648259Z fi
2025-06-05T23:17:03.6648456Z 
2025-06-05T23:17:03.6648787Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-06-05T23:17:03.6649426Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-06-05T23:17:03.6650000Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-06-05T23:17:03.6650712Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-06-05T23:17:03.6651462Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-06-05T23:17:03.6651907Z fi
2025-06-05T23:17:03.6652093Z 
2025-06-05T23:17:03.6652336Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-06-05T23:17:03.6657873Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:17:03.6658244Z env:
2025-06-05T23:17:03.6658866Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:17:03.6659605Z   REPOSITORY: pytorch/executorch
2025-06-05T23:17:03.6659885Z   PR_NUMBER: 
2025-06-05T23:17:03.6660969Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:17:03.6662379Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:17:03.6662956Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:17:03.6663478Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:17:03.6663870Z   DOCKER_BUILD_DIR: .ci/docker
2025-06-05T23:17:03.6664184Z   BASE_REVISION: bd572346e4f196b36aaa03a1645d12b1618fe88b
2025-06-05T23:17:03.6664596Z   DOCKER_TAG: 6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:17:03.6665032Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:17:03.6665396Z   DOCKER_PUSH: 
2025-06-05T23:17:03.6665613Z ##[endgroup]
2025-06-05T23:17:03.6686936Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:17:03.6687394Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:17:03.6689825Z + aws ecr get-login-password --region us-east-1
2025-06-05T23:17:03.6691118Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:17:04.2025978Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-06-05T23:17:04.2026707Z Configure a credential helper to remove this warning. See
2025-06-05T23:17:04.2027368Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-06-05T23:17:04.2028070Z 
2025-06-05T23:17:04.2028169Z Login Succeeded
2025-06-05T23:17:04.2041700Z ++ date +%s
2025-06-05T23:17:04.2050293Z + START_TIME=1749165424
2025-06-05T23:17:04.2053380Z ++ date +%s
2025-06-05T23:17:04.2061478Z + [[ 1749158224 -lt 1749165424 ]]
2025-06-05T23:17:04.2062716Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:17:04.4118244Z {
2025-06-05T23:17:04.4118695Z 	"schemaVersion": 2,
2025-06-05T23:17:04.4119272Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-06-05T23:17:04.4119734Z 	"config": {
2025-06-05T23:17:04.4120061Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-06-05T23:17:04.4120456Z 		"size": 15095,
2025-06-05T23:17:04.4120852Z 		"digest": "sha256:42decea3c25abb6838d54569767446361257d89de818cf9439800ba025d1a8e3"
2025-06-05T23:17:04.4121313Z 	},
2025-06-05T23:17:04.4121496Z 	"layers": [
2025-06-05T23:17:04.4121697Z 		{
2025-06-05T23:17:04.4122002Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4122411Z 			"size": 30438509,
2025-06-05T23:17:04.4122827Z 			"digest": "sha256:f557aa5ee22480ee9e1af0a094ce5174a8c3d83e1aa20dc8482e4e387546e0c3"
2025-06-05T23:17:04.4123281Z 		},
2025-06-05T23:17:04.4123463Z 		{
2025-06-05T23:17:04.4123764Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4124165Z 			"size": 631,
2025-06-05T23:17:04.4124813Z 			"digest": "sha256:e9a71f6cf6a033cad973f94ad3269a9e3774b3a547f2d35c6337589ebab6aeac"
2025-06-05T23:17:04.4125282Z 		},
2025-06-05T23:17:04.4125453Z 		{
2025-06-05T23:17:04.4125777Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4126189Z 			"size": 150105259,
2025-06-05T23:17:04.4126602Z 			"digest": "sha256:e3fa90510e3ddf1a5b6e79a35ae5e2ab40f009c2f0c9cab62af5f35d571aea2b"
2025-06-05T23:17:04.4127078Z 		},
2025-06-05T23:17:04.4127253Z 		{
2025-06-05T23:17:04.4127571Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4127959Z 			"size": 622,
2025-06-05T23:17:04.4128356Z 			"digest": "sha256:8f296761951c2477ba8d9546ac834b6cf17e772fbe388f9e3b2f4e822beb7713"
2025-06-05T23:17:04.4129004Z 		},
2025-06-05T23:17:04.4129194Z 		{
2025-06-05T23:17:04.4129517Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4130099Z 			"size": 19308694,
2025-06-05T23:17:04.4130707Z 			"digest": "sha256:2bd607872e21b1598813388822a5be3ac4118c238c943eb3cf8fc2710f05e55c"
2025-06-05T23:17:04.4131450Z 		},
2025-06-05T23:17:04.4131718Z 		{
2025-06-05T23:17:04.4132401Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4133031Z 			"size": 736,
2025-06-05T23:17:04.4133419Z 			"digest": "sha256:4420b1e1a07f73643ce79401c2021c6970bc6e411c501a43b58d157e19090d5a"
2025-06-05T23:17:04.4133879Z 		},
2025-06-05T23:17:04.4134060Z 		{
2025-06-05T23:17:04.4134362Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4134768Z 			"size": 104,
2025-06-05T23:17:04.4135144Z 			"digest": "sha256:6809dd57201d890b32bda0c0eb39673d6e09056042f299c6332b5c8183a0b16b"
2025-06-05T23:17:04.4135595Z 		},
2025-06-05T23:17:04.4135764Z 		{
2025-06-05T23:17:04.4136074Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4136461Z 			"size": 445,
2025-06-05T23:17:04.4136841Z 			"digest": "sha256:172401b941b1764c760147d40814402d1238a7f1c7287fd8c0c9dd4897f09610"
2025-06-05T23:17:04.4137294Z 		},
2025-06-05T23:17:04.4137460Z 		{
2025-06-05T23:17:04.4137771Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4138164Z 			"size": 53116012,
2025-06-05T23:17:04.4138561Z 			"digest": "sha256:5e083320d4a85ac5551065f575072c6bd6548108f7c2b5536111149247e65ab5"
2025-06-05T23:17:04.4138993Z 		},
2025-06-05T23:17:04.4139176Z 		{
2025-06-05T23:17:04.4139476Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4139874Z 			"size": 636,
2025-06-05T23:17:04.4140257Z 			"digest": "sha256:2d7e5abdd88dbf42ba6487b146573396d6f489b24623393763a4916452feeb69"
2025-06-05T23:17:04.4140714Z 		},
2025-06-05T23:17:04.4140897Z 		{
2025-06-05T23:17:04.4141198Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4141599Z 			"size": 35152813,
2025-06-05T23:17:04.4142001Z 			"digest": "sha256:ecda6316bb2ae022327bc0ca356f874777088d22dfdacd65f6e8ab809bd853b0"
2025-06-05T23:17:04.4142469Z 		},
2025-06-05T23:17:04.4142634Z 		{
2025-06-05T23:17:04.4142944Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4143330Z 			"size": 318,
2025-06-05T23:17:04.4143730Z 			"digest": "sha256:380307a36ed2d54c982df9262fd1ec3b7fb61743ad1a24e7d1b691bc44edba7a"
2025-06-05T23:17:04.4144179Z 		},
2025-06-05T23:17:04.4144362Z 		{
2025-06-05T23:17:04.4144674Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4145064Z 			"size": 253184649,
2025-06-05T23:17:04.4145487Z 			"digest": "sha256:feffff0efa8b9bf0e13334d71636facfd619a2e0c2b8b021189175422a437845"
2025-06-05T23:17:04.4145944Z 		},
2025-06-05T23:17:04.4146127Z 		{
2025-06-05T23:17:04.4146422Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4146822Z 			"size": 475,
2025-06-05T23:17:04.4147209Z 			"digest": "sha256:3ec19c2849b3bf6807efe10c62465e3f4d91dfd9fc8c1ff5b3667814c740339d"
2025-06-05T23:17:04.4147670Z 		},
2025-06-05T23:17:04.4147964Z 		{
2025-06-05T23:17:04.4148282Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4148687Z 			"size": 1041,
2025-06-05T23:17:04.4149085Z 			"digest": "sha256:90036e383dcd10f97f0ec22516fcc2db7a9a5a722c1a2eb97a1ca188b295b072"
2025-06-05T23:17:04.4149551Z 		},
2025-06-05T23:17:04.4149722Z 		{
2025-06-05T23:17:04.4150035Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4150424Z 			"size": 613,
2025-06-05T23:17:04.4150830Z 			"digest": "sha256:5e70c61fded41a31ea65efce907d9dff9acbc03826fb949591a55cfdd3385730"
2025-06-05T23:17:04.4151289Z 		},
2025-06-05T23:17:04.4151472Z 		{
2025-06-05T23:17:04.4151785Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4152268Z 			"size": 111076263,
2025-06-05T23:17:04.4152682Z 			"digest": "sha256:80a92491d99a8d568a91623a761e0bbb1372dad8fd1a906aaa89e68d989d80f9"
2025-06-05T23:17:04.4153177Z + exit 0
2025-06-05T23:17:04.4153366Z 		},
2025-06-05T23:17:04.4153555Z 		{
2025-06-05T23:17:04.4153852Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4154254Z 			"size": 572,
2025-06-05T23:17:04.4154713Z 			"digest": "sha256:47470b077c5ac53ae697354e6f9bcaad809a77f0d53e7491df4edb1fcc954d6d"
2025-06-05T23:17:04.4155178Z 		},
2025-06-05T23:17:04.4155344Z 		{
2025-06-05T23:17:04.4155657Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4156043Z 			"size": 208,
2025-06-05T23:17:04.4156438Z 			"digest": "sha256:b626d927c9a8b783b8230a04798caeaa57ec181ba1efa15a1177a37163669df3"
2025-06-05T23:17:04.4156886Z 		},
2025-06-05T23:17:04.4157072Z 		{
2025-06-05T23:17:04.4157381Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4157773Z 			"size": 1190,
2025-06-05T23:17:04.4158170Z 			"digest": "sha256:5630a9397492da6fac00fcc2b54281af300c4762827878ad79bbf050d7f1388d"
2025-06-05T23:17:04.4158613Z 		},
2025-06-05T23:17:04.4158794Z 		{
2025-06-05T23:17:04.4159091Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4159493Z 			"size": 679,
2025-06-05T23:17:04.4159881Z 			"digest": "sha256:1fc2d9899ffb3967bedc37627591b09f8e71118dfa4afe3eaa4fb76079e974bd"
2025-06-05T23:17:04.4160347Z 		},
2025-06-05T23:17:04.4160529Z 		{
2025-06-05T23:17:04.4160824Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4161228Z 			"size": 6857044176,
2025-06-05T23:17:04.4161629Z 			"digest": "sha256:2e92a82be6ac50b3b014ff6120dbf8bd1c81e47915a17e949a18c792f6ffc625"
2025-06-05T23:17:04.4162086Z 		},
2025-06-05T23:17:04.4162281Z 		{
2025-06-05T23:17:04.4162583Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4162987Z 			"size": 1383,
2025-06-05T23:17:04.4163378Z 			"digest": "sha256:09dac94eaf912c1143008ab2c199dc2a0547cf68fe2b08e1b96af9c2895928ae"
2025-06-05T23:17:04.4163844Z 		},
2025-06-05T23:17:04.4164030Z 		{
2025-06-05T23:17:04.4164331Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4164740Z 			"size": 679,
2025-06-05T23:17:04.4165132Z 			"digest": "sha256:1fc2d9899ffb3967bedc37627591b09f8e71118dfa4afe3eaa4fb76079e974bd"
2025-06-05T23:17:04.4165602Z 		},
2025-06-05T23:17:04.4165776Z 		{
2025-06-05T23:17:04.4166090Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4166486Z 			"size": 232878437,
2025-06-05T23:17:04.4166911Z 			"digest": "sha256:e86add187a69f0dff50e57826aff59df6b24b7e6f554637bdfdd74bed4c92cc2"
2025-06-05T23:17:04.4167370Z 		},
2025-06-05T23:17:04.4167555Z 		{
2025-06-05T23:17:04.4167865Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4168252Z 			"size": 827,
2025-06-05T23:17:04.4168666Z 			"digest": "sha256:dec0deaa1ed566de23b66dcd78ea8449250b56b611cab27ebb83b9504d48a46b"
2025-06-05T23:17:04.4169125Z 		},
2025-06-05T23:17:04.4169309Z 		{
2025-06-05T23:17:04.4169610Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4170082Z 			"size": 679,
2025-06-05T23:17:04.4170467Z 			"digest": "sha256:1fc2d9899ffb3967bedc37627591b09f8e71118dfa4afe3eaa4fb76079e974bd"
2025-06-05T23:17:04.4170930Z 		},
2025-06-05T23:17:04.4171101Z 		{
2025-06-05T23:17:04.4171415Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4171820Z 			"size": 189236795,
2025-06-05T23:17:04.4172211Z 			"digest": "sha256:2d317a84d3a21b8192b1b9d2d9ae24d209b501863ff1f486174318bcdd48697f"
2025-06-05T23:17:04.4172669Z 		},
2025-06-05T23:17:04.4172921Z 		{
2025-06-05T23:17:04.4173236Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4173622Z 			"size": 530,
2025-06-05T23:17:04.4174028Z 			"digest": "sha256:e8c9ad02b5187f5d1cb1d0cce8e115dd9462726f44a685de71b4cbe4f70c67e6"
2025-06-05T23:17:04.4174482Z 		},
2025-06-05T23:17:04.4174666Z 		{
2025-06-05T23:17:04.4174977Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4175366Z 			"size": 679,
2025-06-05T23:17:04.4175774Z 			"digest": "sha256:1fc2d9899ffb3967bedc37627591b09f8e71118dfa4afe3eaa4fb76079e974bd"
2025-06-05T23:17:04.4176225Z 		},
2025-06-05T23:17:04.4176407Z 		{
2025-06-05T23:17:04.4176800Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4177200Z 			"size": 354,
2025-06-05T23:17:04.4177580Z 			"digest": "sha256:ca22a013d303766ddf153f37526c40fa37dc1c0d112176fdb33378c50a81c354"
2025-06-05T23:17:04.4178038Z 		},
2025-06-05T23:17:04.4178206Z 		{
2025-06-05T23:17:04.4178519Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4178924Z 			"size": 32,
2025-06-05T23:17:04.4179311Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-06-05T23:17:04.4179778Z 		},
2025-06-05T23:17:04.4179944Z 		{
2025-06-05T23:17:04.4180253Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4180640Z 			"size": 164,
2025-06-05T23:17:04.4181025Z 			"digest": "sha256:7a90434c2919b4d01b0b6ef02337a0e5c209bc9076c4716164a456692197e73e"
2025-06-05T23:17:04.4181468Z 		},
2025-06-05T23:17:04.4181647Z 		{
2025-06-05T23:17:04.4181949Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4182347Z 			"size": 1109,
2025-06-05T23:17:04.4182747Z 			"digest": "sha256:c2b62aa0dc26b7dd48338aef7893ebaf56403579f42aa88a56bd416c04f43619"
2025-06-05T23:17:04.4183200Z 		},
2025-06-05T23:17:04.4183380Z 		{
2025-06-05T23:17:04.4183678Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4184078Z 			"size": 32,
2025-06-05T23:17:04.4184461Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-06-05T23:17:04.4184922Z 		},
2025-06-05T23:17:04.4185091Z 		{
2025-06-05T23:17:04.4185401Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:17:04.4185802Z 			"size": 108,
2025-06-05T23:17:04.4186183Z 			"digest": "sha256:fa91738771aa1bce765f6661292f0e3c27331fb23dedd083af173eb2414380c3"
2025-06-05T23:17:04.4186646Z 		}
2025-06-05T23:17:04.4186816Z 	]
2025-06-05T23:17:04.4186998Z }
2025-06-05T23:17:04.4215164Z ##[group]Run set -eux
2025-06-05T23:17:04.4215435Z set -eux
2025-06-05T23:17:04.4216308Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin
2025-06-05T23:17:04.4223434Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:17:04.4223825Z env:
2025-06-05T23:17:04.4224078Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:17:04.4224414Z   REPOSITORY: pytorch/executorch
2025-06-05T23:17:04.4224674Z   PR_NUMBER: 
2025-06-05T23:17:04.4225778Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:17:04.4227242Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:17:04.4227808Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:17:04.4228344Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:17:04.4228942Z ##[endgroup]
2025-06-05T23:17:04.4255092Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-06-05T23:17:04.4255849Z + jq --raw-output .SecretString
2025-06-05T23:17:04.4257078Z + jq -r .docker_hub_readonly_token
2025-06-05T23:17:04.4258225Z + docker login --username pytorchbot --password-stdin
2025-06-05T23:17:05.0041201Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-06-05T23:17:05.0041961Z Configure a credential helper to remove this warning. See
2025-06-05T23:17:05.0042882Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-06-05T23:17:05.0043487Z 
2025-06-05T23:17:05.0043584Z Login Succeeded
2025-06-05T23:17:05.0120962Z Prepare all required actions
2025-06-05T23:17:05.0170872Z ##[group]Run ./test-infra/.github/actions/pull-docker-image
2025-06-05T23:17:05.0171247Z with:
2025-06-05T23:17:05.0171880Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:17:05.0172688Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:17:05.0173167Z env:
2025-06-05T23:17:05.0173398Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:17:05.0173736Z   REPOSITORY: pytorch/executorch
2025-06-05T23:17:05.0173995Z   PR_NUMBER: 
2025-06-05T23:17:05.0175103Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:17:05.0176468Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:17:05.0177028Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:17:05.0177560Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:17:05.0177923Z ##[endgroup]
2025-06-05T23:17:05.0218268Z ##[group]Run set -x
2025-06-05T23:17:05.0218531Z set -x
2025-06-05T23:17:05.0218748Z set +e
2025-06-05T23:17:05.0218944Z 
2025-06-05T23:17:05.0219145Z login() {
2025-06-05T23:17:05.0219608Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-06-05T23:17:05.0220102Z }
2025-06-05T23:17:05.0220298Z 
2025-06-05T23:17:05.0220481Z retry () {
2025-06-05T23:17:05.0220733Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-06-05T23:17:05.0221021Z }
2025-06-05T23:17:05.0221234Z 
2025-06-05T23:17:05.0221449Z retry login "${DOCKER_REGISTRY}"
2025-06-05T23:17:05.0221739Z 
2025-06-05T23:17:05.0222202Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-06-05T23:17:05.0222836Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-06-05T23:17:05.0223193Z 
2025-06-05T23:17:05.0223371Z set -e
2025-06-05T23:17:05.0223694Z # ignore output since only exit code is used for conditional
2025-06-05T23:17:05.0224153Z # only pull docker image if it's not available locally
2025-06-05T23:17:05.0224677Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-06-05T23:17:05.0225165Z   retry docker pull "${DOCKER_IMAGE}"
2025-06-05T23:17:05.0225456Z fi
2025-06-05T23:17:05.0231785Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:17:05.0232276Z env:
2025-06-05T23:17:05.0232900Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:17:05.0233633Z   REPOSITORY: pytorch/executorch
2025-06-05T23:17:05.0233907Z   PR_NUMBER: 
2025-06-05T23:17:05.0234993Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:17:05.0236296Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:17:05.0236868Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:17:05.0237391Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:17:05.0237863Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:17:05.0238230Z ##[endgroup]
2025-06-05T23:17:05.0261930Z + set +e
2025-06-05T23:17:05.0262449Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:17:05.0263107Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:17:05.0265620Z + aws ecr get-login-password --region us-east-1
2025-06-05T23:17:05.0266834Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:17:05.5543157Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-06-05T23:17:05.5543813Z Configure a credential helper to remove this warning. See
2025-06-05T23:17:05.5545093Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-06-05T23:17:05.5545662Z 
2025-06-05T23:17:05.5545807Z Login Succeeded
2025-06-05T23:17:05.5561471Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:17:05.5562364Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-06-05T23:17:05.7729896Z + IMAGE_SIZE=7564.136074066162
2025-06-05T23:17:05.7730452Z Compressed size of image in MB: 7564.136074066162
2025-06-05T23:17:05.7730875Z + echo 'Compressed size of image in MB: 7564.136074066162'
2025-06-05T23:17:05.7731229Z + set -e
2025-06-05T23:17:05.7731925Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:17:05.7841611Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:17:05.7842783Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:17:06.0305360Z 6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa: Pulling from executorch/executorch-ubuntu-22.04-gcc9
2025-06-05T23:17:06.0306456Z f557aa5ee224: Pulling fs layer
2025-06-05T23:17:06.0306898Z e9a71f6cf6a0: Pulling fs layer
2025-06-05T23:17:06.0307347Z e3fa90510e3d: Pulling fs layer
2025-06-05T23:17:06.0307803Z 8f296761951c: Pulling fs layer
2025-06-05T23:17:06.0308279Z 2bd607872e21: Pulling fs layer
2025-06-05T23:17:06.0308735Z 4420b1e1a07f: Pulling fs layer
2025-06-05T23:17:06.0309283Z 8f296761951c: Waiting
2025-06-05T23:17:06.0309628Z 2bd607872e21: Waiting
2025-06-05T23:17:06.0309899Z 6809dd57201d: Pulling fs layer
2025-06-05T23:17:06.0310164Z 172401b941b1: Pulling fs layer
2025-06-05T23:17:06.0310416Z 5e083320d4a8: Pulling fs layer
2025-06-05T23:17:06.0310687Z 2d7e5abdd88d: Pulling fs layer
2025-06-05T23:17:06.0310931Z 4420b1e1a07f: Waiting
2025-06-05T23:17:06.0311168Z ecda6316bb2a: Pulling fs layer
2025-06-05T23:17:06.0311412Z 6809dd57201d: Waiting
2025-06-05T23:17:06.0311645Z 380307a36ed2: Pulling fs layer
2025-06-05T23:17:06.0311901Z feffff0efa8b: Pulling fs layer
2025-06-05T23:17:06.0312158Z 172401b941b1: Waiting
2025-06-05T23:17:06.0312597Z ecda6316bb2a: Waiting
2025-06-05T23:17:06.0312834Z 3ec19c2849b3: Pulling fs layer
2025-06-05T23:17:06.0313095Z 2d7e5abdd88d: Waiting
2025-06-05T23:17:06.0313323Z 90036e383dcd: Pulling fs layer
2025-06-05T23:17:06.0313587Z feffff0efa8b: Waiting
2025-06-05T23:17:06.0313816Z 5e70c61fded4: Pulling fs layer
2025-06-05T23:17:06.0314074Z 5e083320d4a8: Waiting
2025-06-05T23:17:06.0314297Z 80a92491d99a: Pulling fs layer
2025-06-05T23:17:06.0314554Z 90036e383dcd: Waiting
2025-06-05T23:17:06.0314765Z 380307a36ed2: Waiting
2025-06-05T23:17:06.0314995Z 47470b077c5a: Pulling fs layer
2025-06-05T23:17:06.0315237Z 80a92491d99a: Waiting
2025-06-05T23:17:06.0315475Z b626d927c9a8: Pulling fs layer
2025-06-05T23:17:06.0315740Z 5630a9397492: Pulling fs layer
2025-06-05T23:17:06.0315992Z 1fc2d9899ffb: Pulling fs layer
2025-06-05T23:17:06.0316259Z 2e92a82be6ac: Pulling fs layer
2025-06-05T23:17:06.0316514Z 09dac94eaf91: Pulling fs layer
2025-06-05T23:17:06.0316772Z 1fc2d9899ffb: Waiting
2025-06-05T23:17:06.0317003Z e86add187a69: Pulling fs layer
2025-06-05T23:17:06.0317396Z dec0deaa1ed5: Pulling fs layer
2025-06-05T23:17:06.0317646Z 2e92a82be6ac: Waiting
2025-06-05T23:17:06.0317874Z e86add187a69: Waiting
2025-06-05T23:17:06.0318087Z 09dac94eaf91: Waiting
2025-06-05T23:17:06.0318323Z dec0deaa1ed5: Waiting
2025-06-05T23:17:06.0318622Z 2d317a84d3a2: Pulling fs layer
2025-06-05T23:17:06.0318895Z e8c9ad02b518: Pulling fs layer
2025-06-05T23:17:06.0319154Z 2d317a84d3a2: Waiting
2025-06-05T23:17:06.0319403Z ca22a013d303: Pulling fs layer
2025-06-05T23:17:06.0319691Z e8c9ad02b518: Waiting
2025-06-05T23:17:06.0319940Z 4f4fb700ef54: Pulling fs layer
2025-06-05T23:17:06.0320195Z 7a90434c2919: Pulling fs layer
2025-06-05T23:17:06.0320720Z c2b62aa0dc26: Pulling fs layer
2025-06-05T23:17:06.0321012Z 4f4fb700ef54: Waiting
2025-06-05T23:17:06.0321246Z ca22a013d303: Waiting
2025-06-05T23:17:06.0321458Z 7a90434c2919: Waiting
2025-06-05T23:17:06.0321704Z fa91738771aa: Pulling fs layer
2025-06-05T23:17:06.0321999Z fa91738771aa: Waiting
2025-06-05T23:17:06.1143118Z e9a71f6cf6a0: Verifying Checksum
2025-06-05T23:17:06.1143547Z e9a71f6cf6a0: Download complete
2025-06-05T23:17:06.2392076Z 8f296761951c: Verifying Checksum
2025-06-05T23:17:06.2392490Z 8f296761951c: Download complete
2025-06-05T23:17:06.4083142Z f557aa5ee224: Download complete
2025-06-05T23:17:06.5122855Z 4420b1e1a07f: Download complete
2025-06-05T23:17:06.5312262Z 2bd607872e21: Verifying Checksum
2025-06-05T23:17:06.5312843Z 2bd607872e21: Download complete
2025-06-05T23:17:06.6018592Z 6809dd57201d: Verifying Checksum
2025-06-05T23:17:06.6019009Z 6809dd57201d: Download complete
2025-06-05T23:17:06.7229351Z 172401b941b1: Download complete
2025-06-05T23:17:06.7965013Z 2d7e5abdd88d: Verifying Checksum
2025-06-05T23:17:06.7965527Z 2d7e5abdd88d: Download complete
2025-06-05T23:17:07.1803337Z 5e083320d4a8: Verifying Checksum
2025-06-05T23:17:07.1803825Z 5e083320d4a8: Download complete
2025-06-05T23:17:07.1999593Z ecda6316bb2a: Verifying Checksum
2025-06-05T23:17:07.1999948Z ecda6316bb2a: Download complete
2025-06-05T23:17:07.3146723Z 380307a36ed2: Verifying Checksum
2025-06-05T23:17:07.3147165Z 380307a36ed2: Download complete
2025-06-05T23:17:07.3306551Z f557aa5ee224: Pull complete
2025-06-05T23:17:07.3424254Z e9a71f6cf6a0: Pull complete
2025-06-05T23:17:07.4211739Z 3ec19c2849b3: Download complete
2025-06-05T23:17:07.5196843Z 90036e383dcd: Verifying Checksum
2025-06-05T23:17:07.5197332Z 90036e383dcd: Download complete
2025-06-05T23:17:07.5953916Z e3fa90510e3d: Verifying Checksum
2025-06-05T23:17:07.5954556Z e3fa90510e3d: Download complete
2025-06-05T23:17:07.6207746Z 5e70c61fded4: Verifying Checksum
2025-06-05T23:17:07.6208171Z 5e70c61fded4: Download complete
2025-06-05T23:17:07.7034838Z 47470b077c5a: Verifying Checksum
2025-06-05T23:17:07.7035432Z 47470b077c5a: Download complete
2025-06-05T23:17:07.7955077Z b626d927c9a8: Verifying Checksum
2025-06-05T23:17:07.7955621Z b626d927c9a8: Download complete
2025-06-05T23:17:07.9081256Z 5630a9397492: Download complete
2025-06-05T23:17:07.9966797Z 1fc2d9899ffb: Verifying Checksum
2025-06-05T23:17:07.9967833Z 1fc2d9899ffb: Download complete
2025-06-05T23:17:08.7702442Z 80a92491d99a: Verifying Checksum
2025-06-05T23:17:08.7703387Z 80a92491d99a: Download complete
2025-06-05T23:17:08.8481145Z 09dac94eaf91: Verifying Checksum
2025-06-05T23:17:08.8481664Z 09dac94eaf91: Download complete
2025-06-05T23:17:09.7963500Z feffff0efa8b: Verifying Checksum
2025-06-05T23:17:09.7964102Z feffff0efa8b: Download complete
2025-06-05T23:17:09.8902646Z dec0deaa1ed5: Verifying Checksum
2025-06-05T23:17:09.8903356Z dec0deaa1ed5: Download complete
2025-06-05T23:17:11.2533912Z e86add187a69: Verifying Checksum
2025-06-05T23:17:11.2534505Z e86add187a69: Download complete
2025-06-05T23:17:11.3303818Z e8c9ad02b518: Download complete
2025-06-05T23:17:11.4158316Z ca22a013d303: Verifying Checksum
2025-06-05T23:17:11.4158815Z ca22a013d303: Download complete
2025-06-05T23:17:11.4335319Z 4f4fb700ef54: Verifying Checksum
2025-06-05T23:17:11.4335690Z 4f4fb700ef54: Download complete
2025-06-05T23:17:11.5185957Z e3fa90510e3d: Pull complete
2025-06-05T23:17:11.5267209Z 7a90434c2919: Verifying Checksum
2025-06-05T23:17:11.5267701Z 7a90434c2919: Download complete
2025-06-05T23:17:11.6086784Z c2b62aa0dc26: Verifying Checksum
2025-06-05T23:17:11.6087286Z c2b62aa0dc26: Download complete
2025-06-05T23:17:11.6794484Z fa91738771aa: Verifying Checksum
2025-06-05T23:17:11.6794851Z fa91738771aa: Download complete
2025-06-05T23:17:11.7002935Z 8f296761951c: Pull complete
2025-06-05T23:17:11.9016511Z 2d317a84d3a2: Verifying Checksum
2025-06-05T23:17:11.9016964Z 2d317a84d3a2: Download complete
2025-06-05T23:17:12.0472450Z 2bd607872e21: Pull complete
2025-06-05T23:17:12.2100989Z 4420b1e1a07f: Pull complete
2025-06-05T23:17:12.3566182Z 6809dd57201d: Pull complete
2025-06-05T23:17:12.4978659Z 172401b941b1: Pull complete
2025-06-05T23:17:13.6235652Z 5e083320d4a8: Pull complete
2025-06-05T23:17:13.7852298Z 2d7e5abdd88d: Pull complete
2025-06-05T23:17:14.5897849Z ecda6316bb2a: Pull complete
2025-06-05T23:17:14.8394008Z 380307a36ed2: Pull complete
2025-06-05T23:17:20.6478163Z feffff0efa8b: Pull complete
2025-06-05T23:17:20.8246867Z 3ec19c2849b3: Pull complete
2025-06-05T23:17:21.0522894Z 90036e383dcd: Pull complete
2025-06-05T23:17:21.2808032Z 5e70c61fded4: Pull complete
2025-06-05T23:17:25.8794978Z 80a92491d99a: Pull complete
2025-06-05T23:17:26.0355523Z 47470b077c5a: Pull complete
2025-06-05T23:17:26.1961919Z b626d927c9a8: Pull complete
2025-06-05T23:17:26.3418733Z 5630a9397492: Pull complete
2025-06-05T23:17:26.4830159Z 1fc2d9899ffb: Pull complete
2025-06-05T23:18:16.6440045Z 2e92a82be6ac: Verifying Checksum
2025-06-05T23:18:16.6440403Z 2e92a82be6ac: Download complete
2025-06-05T23:19:27.6762135Z 2e92a82be6ac: Pull complete
2025-06-05T23:19:27.8489042Z 09dac94eaf91: Pull complete
2025-06-05T23:19:34.7747499Z e86add187a69: Pull complete
2025-06-05T23:19:34.8197130Z dec0deaa1ed5: Pull complete
2025-06-05T23:19:42.7791225Z 2d317a84d3a2: Pull complete
2025-06-05T23:19:42.9737055Z e8c9ad02b518: Pull complete
2025-06-05T23:19:43.3075489Z ca22a013d303: Pull complete
2025-06-05T23:19:43.4029192Z 4f4fb700ef54: Pull complete
2025-06-05T23:19:43.4549389Z 7a90434c2919: Pull complete
2025-06-05T23:19:43.4857020Z c2b62aa0dc26: Pull complete
2025-06-05T23:19:43.5561742Z fa91738771aa: Pull complete
2025-06-05T23:19:43.5760936Z Digest: sha256:7e1783dcb1f1e2cd2c9de40793b54670901c31f2bd82ded9e3245b8c7fc8e335
2025-06-05T23:19:43.5809361Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:19:43.5886345Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:19:43.5928376Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-06-05T23:19:43.5929567Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-06-05T23:19:43.5937539Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:19:43.5937915Z env:
2025-06-05T23:19:43.5938171Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:19:43.5938498Z   REPOSITORY: pytorch/executorch
2025-06-05T23:19:43.5938846Z   PR_NUMBER: 
2025-06-05T23:19:43.5939941Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:19:43.5941300Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:19:43.5941859Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:19:43.5942392Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:19:43.5942768Z ##[endgroup]
2025-06-05T23:19:43.6039241Z ##[group]Run set -ex
2025-06-05T23:19:43.6039524Z set -ex
2025-06-05T23:19:43.6039736Z {
2025-06-05T23:19:43.6039945Z   echo "#!/usr/bin/env bash";
2025-06-05T23:19:43.6040260Z   echo "set -eou pipefail";
2025-06-05T23:19:43.6040557Z   # shellcheck disable=SC2016
2025-06-05T23:19:43.6040886Z   echo 'eval "$(conda shell.bash hook)"';
2025-06-05T23:19:43.6041199Z   echo "set -x";
2025-06-05T23:19:43.6041459Z   echo "${SCRIPT}";
2025-06-05T23:19:43.6041724Z } > "${RUNNER_TEMP}/exec_script"
2025-06-05T23:19:43.6042052Z chmod +x "${RUNNER_TEMP}/exec_script"
2025-06-05T23:19:43.6042760Z python3 "/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py" ""
2025-06-05T23:19:43.6048567Z shell: /usr/bin/bash -e {0}
2025-06-05T23:19:43.6048830Z env:
2025-06-05T23:19:43.6049496Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:19:43.6050235Z   REPOSITORY: pytorch/executorch
2025-06-05T23:19:43.6050514Z   PR_NUMBER: 
2025-06-05T23:19:43.6051714Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:19:43.6053011Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:19:43.6053659Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:19:43.6054186Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:19:43.6054913Z   ALL_SECRETS: {
  "github_token": "***"
}
2025-06-05T23:19:43.6055217Z ##[endgroup]
2025-06-05T23:19:43.6077581Z + echo '#!/usr/bin/env bash'
2025-06-05T23:19:43.6078164Z + echo 'set -eou pipefail'
2025-06-05T23:19:43.6078442Z + echo 'eval "$(conda shell.bash hook)"'
2025-06-05T23:19:43.6078741Z + echo 'set -x'
2025-06-05T23:19:43.6079106Z + echo '# The generic Linux job chooses to use base env, not the one setup by the image
2025-06-05T23:19:43.6081106Z CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
2025-06-05T23:19:43.6081844Z conda activate "${CONDA_ENV}"
2025-06-05T23:19:43.6082069Z 
2025-06-05T23:19:43.6082261Z PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
2025-06-05T23:19:43.6082734Z PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh
2025-06-05T23:19:43.6083083Z '
2025-06-05T23:19:43.6083371Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script
2025-06-05T23:19:43.6088750Z + python3 /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py ''
2025-06-05T23:20:05.3188938Z Running command: 
2025-06-05T23:20:05.3197667Z         docker run             -e PR_NUMBER             -e RUNNER_ARTIFACT_DIR=/artifacts             -e RUNNER_DOCS_DIR=/docs             -e RUNNER_TEST_RESULTS_DIR=/test-results             --env-file="/home/ec2-user/actions-runner/_work/_temp/github_env_15475023378"             `# It is unknown why the container sees a different value for this.`             -e GITHUB_STEP_SUMMARY             -e SECRET_GITHUB_TOKEN             --cap-add=SYS_PTRACE             --detach             --ipc=host             --security-opt seccomp=unconfined             --shm-size=2g             --tty             --ulimit stack=10485760:83886080             --ulimit core=0                          -v "/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch:/pytorch/executorch"             -v "/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra:/test-infra"             -v "/home/ec2-user/actions-runner/_work/_temp/artifacts:/artifacts"             -v "/home/ec2-user/actions-runner/_work/_temp/docs:/docs"             -v "/home/ec2-user/actions-runner/_work/_temp/test-results:/test-results"             -v "/home/ec2-user/actions-runner/_work/_temp/exec_script:/exec"             -v "/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_0133a991-6632-4dc8-b7d5-0c925ce819ed":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_0133a991-6632-4dc8-b7d5-0c925ce819ed"             -w /pytorch/executorch             "308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa"
2025-06-05T23:20:05.3203685Z         
2025-06-05T23:20:05.3204023Z b9e9ff0c503e766d6358b05c995fb6feee0c9ee75438f708e7f9fcea4f7457e0
2025-06-05T23:20:05.3204709Z Running command: docker exec -t b9e9ff0c503e766d6358b05c995fb6feee0c9ee75438f708e7f9fcea4f7457e0 /exec
2025-06-05T23:20:05.3205284Z ++ conda env list --json
2025-06-05T23:20:05.3205519Z ++ local cmd=env
2025-06-05T23:20:05.3205734Z ++ case "$cmd" in
2025-06-05T23:20:05.3205958Z ++ __conda_exe env list --json
2025-06-05T23:20:05.3206231Z ++ jq -r '.envs | .[-1]'
2025-06-05T23:20:05.3206497Z ++ /opt/conda/bin/conda env list --json
2025-06-05T23:20:05.3206800Z + CONDA_ENV=/opt/conda/envs/py_3.10
2025-06-05T23:20:05.3207109Z + conda activate /opt/conda/envs/py_3.10
2025-06-05T23:20:05.3207395Z + local cmd=activate
2025-06-05T23:20:05.3207644Z + case "$cmd" in
2025-06-05T23:20:05.3208079Z + __conda_activate activate /opt/conda/envs/py_3.10
2025-06-05T23:20:05.3208466Z + '[' -n '' ']'
2025-06-05T23:20:05.3208671Z + local ask_conda
2025-06-05T23:20:05.3208893Z ++ PS1='(base) '
2025-06-05T23:20:05.3209250Z ++ __conda_exe shell.posix activate /opt/conda/envs/py_3.10
2025-06-05T23:20:05.3209736Z ++ /opt/conda/bin/conda shell.posix activate /opt/conda/envs/py_3.10
2025-06-05T23:20:05.3210146Z + ask_conda='PS1='\''(py_3.10) '\''
2025-06-05T23:20:05.3211017Z export PATH='\''/opt/conda/envs/py_3.10/bin:/opt/conda/condabin:/opt/cache/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
2025-06-05T23:20:05.3211922Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-06-05T23:20:05.3212269Z export CONDA_SHLVL='\''2'\''
2025-06-05T23:20:05.3212541Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-06-05T23:20:05.3212878Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-06-05T23:20:05.3213312Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-06-05T23:20:05.3213635Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-06-05T23:20:05.3213954Z export _CE_M='\'''\''
2025-06-05T23:20:05.3214182Z export _CE_CONDA='\'''\''
2025-06-05T23:20:05.3214497Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-06-05T23:20:05.3214842Z + eval 'PS1='\''(py_3.10) '\''
2025-06-05T23:20:05.3215673Z export PATH='\''/opt/conda/envs/py_3.10/bin:/opt/conda/condabin:/opt/cache/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
2025-06-05T23:20:05.3216561Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-06-05T23:20:05.3217023Z export CONDA_SHLVL='\''2'\''
2025-06-05T23:20:05.3217310Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-06-05T23:20:05.3217639Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-06-05T23:20:05.3217986Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-06-05T23:20:05.3218358Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-06-05T23:20:05.3218838Z export _CE_M='\'''\''
2025-06-05T23:20:05.3219116Z export _CE_CONDA='\'''\''
2025-06-05T23:20:05.3219429Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-06-05T23:20:05.3219762Z ++ PS1='(py_3.10) '
2025-06-05T23:20:05.3220539Z ++ export PATH=/opt/conda/envs/py_3.10/bin:/opt/conda/condabin:/opt/cache/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-06-05T23:20:05.3221897Z ++ PATH=/opt/conda/envs/py_3.10/bin:/opt/conda/condabin:/opt/cache/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-06-05T23:20:05.3222841Z ++ export CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-06-05T23:20:05.3223188Z ++ CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-06-05T23:20:05.3223474Z ++ export CONDA_SHLVL=2
2025-06-05T23:20:05.3223713Z ++ CONDA_SHLVL=2
2025-06-05T23:20:05.3223934Z ++ export CONDA_DEFAULT_ENV=py_3.10
2025-06-05T23:20:05.3224232Z ++ CONDA_DEFAULT_ENV=py_3.10
2025-06-05T23:20:05.3224527Z ++ export 'CONDA_PROMPT_MODIFIER=(py_3.10) '
2025-06-05T23:20:05.3224847Z ++ CONDA_PROMPT_MODIFIER='(py_3.10) '
2025-06-05T23:20:05.3225150Z ++ export CONDA_PREFIX_1=/opt/conda
2025-06-05T23:20:05.3225429Z ++ CONDA_PREFIX_1=/opt/conda
2025-06-05T23:20:05.3225710Z ++ export CONDA_EXE=/opt/conda/bin/conda
2025-06-05T23:20:05.3226003Z ++ CONDA_EXE=/opt/conda/bin/conda
2025-06-05T23:20:05.3226271Z ++ export _CE_M=
2025-06-05T23:20:05.3226470Z ++ _CE_M=
2025-06-05T23:20:05.3226669Z ++ export _CE_CONDA=
2025-06-05T23:20:05.3226884Z ++ _CE_CONDA=
2025-06-05T23:20:05.3227134Z ++ export CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-06-05T23:20:05.3227486Z ++ CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-06-05T23:20:05.3227777Z + __conda_hashr
2025-06-05T23:20:05.3227994Z + '[' -n '' ']'
2025-06-05T23:20:05.3228193Z + '[' -n '' ']'
2025-06-05T23:20:05.3228397Z + hash -r
2025-06-05T23:20:05.3228806Z + PYTHON_EXECUTABLE=python
2025-06-05T23:20:05.3229097Z + bash .ci/scripts/setup-openvino.sh
2025-06-05T23:20:05.3229467Z ++ dirname .ci/scripts/setup-openvino.sh
2025-06-05T23:20:05.3229944Z + source .ci/scripts/utils.sh
2025-06-05T23:20:05.3230357Z + git clone https://github.com/openvinotoolkit/openvino.git
2025-06-05T23:20:05.3230750Z Cloning into 'openvino'...
2025-06-05T23:20:05.3231264Z remote: Enumerating objects: 579222
2025-06-05T23:20:05.3231637Z remote: Enumerating objects: 579777, done.
2025-06-05T23:20:05.3232024Z remote: Counting objects:   0% (1/555)
2025-06-05T23:20:05.3232380Z remote: Counting objects:   1% (6/555)
2025-06-05T23:20:05.3232751Z remote: Counting objects:   2% (12/555)
2025-06-05T23:20:05.3233109Z remote: Counting objects:   3% (17/555)
2025-06-05T23:20:05.3233497Z remote: Counting objects:   4% (23/555)
2025-06-05T23:20:05.3233850Z remote: Counting objects:   5% (28/555)
2025-06-05T23:20:05.3234214Z remote: Counting objects:   6% (34/555)
2025-06-05T23:20:05.3234565Z remote: Counting objects:   7% (39/555)
2025-06-05T23:20:05.3234935Z remote: Counting objects:   8% (45/555)
2025-06-05T23:20:05.3235301Z remote: Counting objects:   9% (50/555)
2025-06-05T23:20:05.3235655Z remote: Counting objects:  10% (56/555)
2025-06-05T23:20:05.3236024Z remote: Counting objects:  11% (62/555)
2025-06-05T23:20:05.3236377Z remote: Counting objects:  12% (67/555)
2025-06-05T23:20:05.3236738Z remote: Counting objects:  13% (73/555)
2025-06-05T23:20:05.3237090Z remote: Counting objects:  14% (78/555)
2025-06-05T23:20:05.3237454Z remote: Counting objects:  15% (84/555)
2025-06-05T23:20:05.3237803Z remote: Counting objects:  16% (89/555)
2025-06-05T23:20:05.3238167Z remote: Counting objects:  17% (95/555)
2025-06-05T23:20:05.3238696Z remote: Counting objects:  18% (100/555)
2025-06-05T23:20:05.3239059Z remote: Counting objects:  19% (106/555)
2025-06-05T23:20:05.3239434Z remote: Counting objects:  20% (111/555)
2025-06-05T23:20:05.3239792Z remote: Counting objects:  21% (117/555)
2025-06-05T23:20:05.3240162Z remote: Counting objects:  22% (123/555)
2025-06-05T23:20:05.3240520Z remote: Counting objects:  23% (128/555)
2025-06-05T23:20:05.3240893Z remote: Counting objects:  24% (134/555)
2025-06-05T23:20:05.3241251Z remote: Counting objects:  25% (139/555)
2025-06-05T23:20:05.3241622Z remote: Counting objects:  26% (145/555)
2025-06-05T23:20:05.3241994Z remote: Counting objects:  27% (150/555)
2025-06-05T23:20:05.3242352Z remote: Counting objects:  28% (156/555)
2025-06-05T23:20:05.3242721Z remote: Counting objects:  29% (161/555)
2025-06-05T23:20:05.3243077Z remote: Counting objects:  30% (167/555)
2025-06-05T23:20:05.3243446Z remote: Counting objects:  31% (173/555)
2025-06-05T23:20:05.3243895Z remote: Counting objects:  32% (178/555)
2025-06-05T23:20:05.3244268Z remote: Counting objects:  33% (184/555)
2025-06-05T23:20:05.3244881Z remote: Counting objects:  34% (189/555)
2025-06-05T23:20:05.3245310Z remote: Counting objects:  35% (195/555)
2025-06-05T23:20:05.3245682Z remote: Counting objects:  36% (200/555)
2025-06-05T23:20:05.3246043Z remote: Counting objects:  37% (206/555)
2025-06-05T23:20:05.3246416Z remote: Counting objects:  38% (211/555)
2025-06-05T23:20:05.3246779Z remote: Counting objects:  39% (217/555)
2025-06-05T23:20:05.3247150Z remote: Counting objects:  40% (222/555)
2025-06-05T23:20:05.3247508Z remote: Counting objects:  41% (228/555)
2025-06-05T23:20:05.3247877Z remote: Counting objects:  42% (234/555)
2025-06-05T23:20:05.3248237Z remote: Counting objects:  43% (239/555)
2025-06-05T23:20:05.3248605Z remote: Counting objects:  44% (245/555)
2025-06-05T23:20:05.3248972Z remote: Counting objects:  45% (250/555)
2025-06-05T23:20:05.3249338Z remote: Counting objects:  46% (256/555)
2025-06-05T23:20:05.3249706Z remote: Counting objects:  47% (261/555)
2025-06-05T23:20:05.3250063Z remote: Counting objects:  48% (267/555)
2025-06-05T23:20:05.3250429Z remote: Counting objects:  49% (272/555)
2025-06-05T23:20:05.3250784Z remote: Counting objects:  50% (278/555)
2025-06-05T23:20:05.3251152Z remote: Counting objects:  51% (284/555)
2025-06-05T23:20:05.3251508Z remote: Counting objects:  52% (289/555)
2025-06-05T23:20:05.3251874Z remote: Counting objects:  53% (295/555)
2025-06-05T23:20:05.3252243Z remote: Counting objects:  54% (300/555)
2025-06-05T23:20:05.3252598Z remote: Counting objects:  55% (306/555)
2025-06-05T23:20:05.3252964Z remote: Counting objects:  56% (311/555)
2025-06-05T23:20:05.3253397Z remote: Counting objects:  57% (317/555)
2025-06-05T23:20:05.3253770Z remote: Counting objects:  58% (322/555)
2025-06-05T23:20:05.3254125Z remote: Counting objects:  59% (328/555)
2025-06-05T23:20:05.3254504Z remote: Counting objects:  60% (333/555)
2025-06-05T23:20:05.3254861Z remote: Counting objects:  61% (339/555)
2025-06-05T23:20:05.3255231Z remote: Counting objects:  62% (345/555)
2025-06-05T23:20:05.3255596Z remote: Counting objects:  63% (350/555)
2025-06-05T23:20:05.3255952Z remote: Counting objects:  64% (356/555)
2025-06-05T23:20:05.3256319Z remote: Counting objects:  65% (361/555)
2025-06-05T23:20:05.3256675Z remote: Counting objects:  66% (367/555)
2025-06-05T23:20:05.3257041Z remote: Counting objects:  67% (372/555)
2025-06-05T23:20:05.3257396Z remote: Counting objects:  68% (378/555)
2025-06-05T23:20:05.3257764Z remote: Counting objects:  69% (383/555)
2025-06-05T23:20:05.3258336Z remote: Counting objects:  70% (389/555)
2025-06-05T23:20:05.3258770Z remote: Counting objects:  71% (395/555)
2025-06-05T23:20:05.3259144Z remote: Counting objects:  72% (400/555)
2025-06-05T23:20:05.3259499Z remote: Counting objects:  73% (406/555)
2025-06-05T23:20:05.3259883Z remote: Counting objects:  74% (411/555)
2025-06-05T23:20:05.3260361Z remote: Counting objects:  75% (417/555)
2025-06-05T23:20:05.3260733Z remote: Counting objects:  76% (422/555)
2025-06-05T23:20:16.6305103Z remote: Counting objects:  77% (428/555)
2025-06-05T23:20:16.6305638Z remote: Counting objects:  78% (433/555)
2025-06-05T23:20:16.6306147Z remote: Counting objects:  79% (439/555)
2025-06-05T23:20:16.6306641Z remote: Counting objects:  80% (444/555)
2025-06-05T23:20:16.6307290Z remote: Counting objects:  81% (450/555)
2025-06-05T23:20:16.6307822Z remote: Counting objects:  82% (456/555)
2025-06-05T23:20:16.6308375Z remote: Counting objects:  83% (461/555)
2025-06-05T23:20:16.6308922Z remote: Counting objects:  84% (467/555)
2025-06-05T23:20:16.6309456Z remote: Counting objects:  85% (472/555)
2025-06-05T23:20:16.6309949Z remote: Counting objects:  86% (478/555)
2025-06-05T23:20:16.6310394Z remote: Counting objects:  87% (483/555)
2025-06-05T23:20:16.6311021Z remote: Counting objects:  88% (489/555)
2025-06-05T23:20:16.6311478Z remote: Counting objects:  89% (494/555)
2025-06-05T23:20:16.6311855Z remote: Counting objects:  90% (500/555)
2025-06-05T23:20:16.6312214Z remote: Counting objects:  91% (506/555)
2025-06-05T23:20:16.6312591Z remote: Counting objects:  92% (511/555)
2025-06-05T23:20:16.6312949Z remote: Counting objects:  93% (517/555)
2025-06-05T23:20:16.6313323Z remote: Counting objects:  94% (522/555)
2025-06-05T23:20:16.6313684Z remote: Counting objects:  95% (528/555)
2025-06-05T23:20:16.6314058Z remote: Counting objects:  96% (533/555)
2025-06-05T23:20:16.6314458Z remote: Counting objects:  97% (539/555)
2025-06-05T23:20:16.6314823Z remote: Counting objects:  98% (544/555)
2025-06-05T23:20:16.6315198Z remote: Counting objects:  99% (550/555)
2025-06-05T23:20:16.6315561Z remote: Counting objects: 100% (555/555)
2025-06-05T23:20:16.6315970Z remote: Counting objects: 100% (555/555), done.
2025-06-05T23:20:16.6316389Z remote: Compressing objects:   0% (1/437)
2025-06-05T23:20:16.6316784Z remote: Compressing objects:   1% (5/437)
2025-06-05T23:20:16.6317167Z remote: Compressing objects:   2% (9/437)
2025-06-05T23:20:16.6317561Z remote: Compressing objects:   3% (14/437)
2025-06-05T23:20:16.6317984Z remote: Compressing objects:   4% (18/437)
2025-06-05T23:20:16.6318363Z remote: Compressing objects:   5% (22/437)
2025-06-05T23:20:16.6318758Z remote: Compressing objects:   6% (27/437)
2025-06-05T23:20:16.6319132Z remote: Compressing objects:   7% (31/437)
2025-06-05T23:20:16.6319523Z remote: Compressing objects:   8% (35/437)
2025-06-05T23:20:16.6319901Z remote: Compressing objects:   9% (40/437)
2025-06-05T23:20:16.6320291Z remote: Compressing objects:  10% (44/437)
2025-06-05T23:20:16.6320667Z remote: Compressing objects:  11% (49/437)
2025-06-05T23:20:16.6321079Z remote: Compressing objects:  12% (53/437)
2025-06-05T23:20:16.6321473Z remote: Compressing objects:  13% (57/437)
2025-06-05T23:20:16.6321860Z remote: Compressing objects:  14% (62/437)
2025-06-05T23:20:16.6322249Z remote: Compressing objects:  15% (66/437)
2025-06-05T23:20:16.6322625Z remote: Compressing objects:  16% (70/437)
2025-06-05T23:20:16.6323015Z remote: Compressing objects:  17% (75/437)
2025-06-05T23:20:16.6323394Z remote: Compressing objects:  18% (79/437)
2025-06-05T23:20:16.6323782Z remote: Compressing objects:  19% (84/437)
2025-06-05T23:20:16.6324160Z remote: Compressing objects:  20% (88/437)
2025-06-05T23:20:16.6324579Z remote: Compressing objects:  21% (92/437)
2025-06-05T23:20:16.6324970Z remote: Compressing objects:  22% (97/437)
2025-06-05T23:20:16.6325353Z remote: Compressing objects:  23% (101/437)
2025-06-05T23:20:16.6325757Z remote: Compressing objects:  24% (105/437)
2025-06-05T23:20:16.6326146Z remote: Compressing objects:  25% (110/437)
2025-06-05T23:20:16.6326544Z remote: Compressing objects:  26% (114/437)
2025-06-05T23:20:16.6326934Z remote: Compressing objects:  27% (118/437)
2025-06-05T23:20:16.6327476Z remote: Compressing objects:  28% (123/437)
2025-06-05T23:20:16.6327889Z remote: Compressing objects:  29% (127/437)
2025-06-05T23:20:16.6328287Z remote: Compressing objects:  30% (132/437)
2025-06-05T23:20:16.6328889Z remote: Compressing objects:  31% (136/437)
2025-06-05T23:20:16.6329284Z remote: Compressing objects:  32% (140/437)
2025-06-05T23:20:16.6329680Z remote: Compressing objects:  33% (145/437)
2025-06-05T23:20:16.6330066Z remote: Compressing objects:  34% (149/437)
2025-06-05T23:20:16.6330464Z remote: Compressing objects:  35% (153/437)
2025-06-05T23:20:16.6330853Z remote: Compressing objects:  36% (158/437)
2025-06-05T23:20:16.6331282Z remote: Compressing objects:  37% (162/437)
2025-06-05T23:20:16.6331672Z remote: Compressing objects:  38% (167/437)
2025-06-05T23:20:16.6332072Z remote: Compressing objects:  39% (171/437)
2025-06-05T23:20:16.6332472Z remote: Compressing objects:  40% (175/437)
2025-06-05T23:20:16.6332982Z remote: Compressing objects:  41% (180/437)
2025-06-05T23:20:16.6333486Z remote: Compressing objects:  42% (184/437)
2025-06-05T23:20:16.6333879Z remote: Compressing objects:  43% (188/437)
2025-06-05T23:20:16.6334282Z remote: Compressing objects:  44% (193/437)
2025-06-05T23:20:16.6334729Z remote: Compressing objects:  45% (197/437)
2025-06-05T23:20:16.6335170Z remote: Compressing objects:  46% (202/437)
2025-06-05T23:20:16.6335614Z remote: Compressing objects:  47% (206/437)
2025-06-05T23:20:16.6336022Z remote: Compressing objects:  48% (210/437)
2025-06-05T23:20:16.6336480Z remote: Compressing objects:  49% (215/437)
2025-06-05T23:20:16.6336866Z remote: Compressing objects:  50% (219/437)
2025-06-05T23:20:16.6337325Z remote: Compressing objects:  51% (223/437)
2025-06-05T23:20:16.6337713Z remote: Compressing objects:  52% (228/437)
2025-06-05T23:20:16.6338202Z remote: Compressing objects:  53% (232/437)
2025-06-05T23:20:16.6338657Z remote: Compressing objects:  54% (236/437)
2025-06-05T23:20:16.6339075Z remote: Compressing objects:  55% (241/437)
2025-06-05T23:20:16.6339518Z remote: Compressing objects:  56% (245/437)
2025-06-05T23:20:16.6339919Z remote: Compressing objects:  57% (250/437)
2025-06-05T23:20:16.6340366Z remote: Compressing objects:  58% (254/437)
2025-06-05T23:20:16.6340755Z remote: Compressing objects:  59% (258/437)
2025-06-05T23:20:16.6341177Z remote: Compressing objects:  60% (263/437)
2025-06-05T23:20:16.6341565Z remote: Compressing objects:  61% (267/437)
2025-06-05T23:20:16.6342024Z remote: Compressing objects:  62% (271/437)
2025-06-05T23:20:16.6342406Z remote: Compressing objects:  63% (276/437)
2025-06-05T23:20:16.6342802Z remote: Compressing objects:  64% (280/437)
2025-06-05T23:20:16.6343186Z remote: Compressing objects:  65% (285/437)
2025-06-05T23:20:16.6343581Z remote: Compressing objects:  66% (289/437)
2025-06-05T23:20:16.6344034Z remote: Compressing objects:  67% (293/437)
2025-06-05T23:20:16.6344429Z remote: Compressing objects:  68% (298/437)
2025-06-05T23:20:16.6344854Z remote: Compressing objects:  69% (302/437)
2025-06-05T23:20:16.6345241Z remote: Compressing objects:  70% (306/437)
2025-06-05T23:20:16.6345642Z remote: Compressing objects:  71% (311/437)
2025-06-05T23:20:16.6346027Z remote: Compressing objects:  72% (315/437)
2025-06-05T23:20:16.6346423Z remote: Compressing objects:  73% (320/437)
2025-06-05T23:20:16.6346811Z remote: Compressing objects:  74% (324/437)
2025-06-05T23:20:16.6347212Z remote: Compressing objects:  75% (328/437)
2025-06-05T23:20:16.6347662Z remote: Compressing objects:  76% (333/437)
2025-06-05T23:20:16.6348079Z remote: Compressing objects:  77% (337/437)
2025-06-05T23:20:16.6348478Z remote: Compressing objects:  78% (341/437)
2025-06-05T23:20:16.6348862Z remote: Compressing objects:  79% (346/437)
2025-06-05T23:20:16.6349260Z remote: Compressing objects:  80% (350/437)
2025-06-05T23:20:16.6375333Z remote: Compressing objects:  81% (354/437)
2025-06-05T23:20:16.6376115Z remote: Compressing objects:  82% (359/437)
2025-06-05T23:20:16.6376514Z remote: Compressing objects:  83% (363/437)
2025-06-05T23:20:16.6376924Z remote: Compressing objects:  84% (368/437)
2025-06-05T23:20:16.6377314Z remote: Compressing objects:  85% (372/437)
2025-06-05T23:20:16.6377717Z remote: Compressing objects:  86% (376/437)
2025-06-05T23:20:16.6378115Z remote: Compressing objects:  87% (381/437)
2025-06-05T23:20:16.6378517Z remote: Compressing objects:  88% (385/437)
2025-06-05T23:20:16.6378934Z remote: Compressing objects:  89% (389/437)
2025-06-05T23:20:16.6379321Z remote: Compressing objects:  90% (394/437)
2025-06-05T23:20:16.6379723Z remote: Compressing objects:  91% (398/437)
2025-06-05T23:20:16.6380106Z remote: Compressing objects:  92% (403/437)
2025-06-05T23:20:16.6380509Z remote: Compressing objects:  93% (407/437)
2025-06-05T23:20:16.6380979Z remote: Compressing objects:  94% (411/437)
2025-06-05T23:20:16.6381386Z remote: Compressing objects:  95% (416/437)
2025-06-05T23:20:16.6381820Z remote: Compressing objects:  96% (420/437)
2025-06-05T23:20:16.6382208Z remote: Compressing objects:  97% (424/437)
2025-06-05T23:20:16.6382609Z remote: Compressing objects:  98% (429/437)
2025-06-05T23:20:16.6382996Z remote: Compressing objects:  99% (433/437)
2025-06-05T23:20:16.6383398Z remote: Compressing objects: 100% (437/437)
2025-06-05T23:20:16.6383816Z remote: Compressing objects: 100% (437/437), done.
2025-06-05T23:20:16.6384175Z Receiving objects:   0% (1/579777)
2025-06-05T23:20:16.6384455Z Receiving objects:   1% (5798/579777)
2025-06-05T23:20:16.6384761Z Receiving objects:   2% (11596/579777)
2025-06-05T23:20:16.6385061Z Receiving objects:   3% (17394/579777)
2025-06-05T23:20:16.6385370Z Receiving objects:   4% (23192/579777)
2025-06-05T23:20:16.6385738Z Receiving objects:   5% (28989/579777), 21.03 MiB | 42.05 MiB/s
2025-06-05T23:20:16.6386174Z Receiving objects:   6% (34787/579777), 21.03 MiB | 42.05 MiB/s
2025-06-05T23:20:16.6386612Z Receiving objects:   7% (40585/579777), 21.03 MiB | 42.05 MiB/s
2025-06-05T23:20:16.6387032Z Receiving objects:   7% (41366/579777), 21.03 MiB | 42.05 MiB/s
2025-06-05T23:20:16.6387461Z Receiving objects:   8% (46383/579777), 37.21 MiB | 37.20 MiB/s
2025-06-05T23:20:16.6387876Z Receiving objects:   9% (52180/579777), 37.21 MiB | 37.20 MiB/s
2025-06-05T23:20:16.6388330Z Receiving objects:  10% (57978/579777), 59.66 MiB | 39.77 MiB/s
2025-06-05T23:20:16.6388762Z Receiving objects:  10% (59987/579777), 86.62 MiB | 43.31 MiB/s
2025-06-05T23:20:16.6389181Z Receiving objects:  11% (63776/579777), 86.62 MiB | 43.31 MiB/s
2025-06-05T23:20:16.6389616Z Receiving objects:  12% (69574/579777), 86.62 MiB | 43.31 MiB/s
2025-06-05T23:20:16.6390035Z Receiving objects:  13% (75372/579777), 86.62 MiB | 43.31 MiB/s
2025-06-05T23:20:16.6390472Z Receiving objects:  14% (81169/579777), 110.82 MiB | 44.32 MiB/s
2025-06-05T23:20:16.6390913Z Receiving objects:  15% (86967/579777), 110.82 MiB | 44.32 MiB/s
2025-06-05T23:20:16.6391360Z Receiving objects:  16% (92765/579777), 110.82 MiB | 44.32 MiB/s
2025-06-05T23:20:16.6391823Z Receiving objects:  16% (95205/579777), 110.82 MiB | 44.32 MiB/s
2025-06-05T23:20:16.6392258Z Receiving objects:  17% (98563/579777), 135.50 MiB | 45.17 MiB/s
2025-06-05T23:20:16.6392705Z Receiving objects:  18% (104360/579777), 135.50 MiB | 45.17 MiB/s
2025-06-05T23:20:16.6393142Z Receiving objects:  19% (110158/579777), 135.50 MiB | 45.17 MiB/s
2025-06-05T23:20:16.6393591Z Receiving objects:  20% (115956/579777), 162.85 MiB | 46.53 MiB/s
2025-06-05T23:20:16.6394019Z Receiving objects:  20% (116998/579777), 192.46 MiB | 48.11 MiB/s
2025-06-05T23:20:16.6394540Z Receiving objects:  21% (121754/579777), 221.10 MiB | 49.13 MiB/s
2025-06-05T23:20:16.6394989Z Receiving objects:  21% (122066/579777), 221.10 MiB | 49.13 MiB/s
2025-06-05T23:20:16.6395415Z Receiving objects:  22% (127551/579777), 280.88 MiB | 54.15 MiB/s
2025-06-05T23:20:16.6395891Z Receiving objects:  22% (130777/579777), 308.58 MiB | 55.31 MiB/s
2025-06-05T23:20:16.6396421Z Receiving objects:  22% (132861/579777), 351.25 MiB | 53.43 MiB/s
2025-06-05T23:20:16.6396866Z Receiving objects:  23% (133349/579777), 355.29 MiB | 48.84 MiB/s
2025-06-05T23:20:16.6397300Z Receiving objects:  24% (139147/579777), 355.29 MiB | 48.84 MiB/s
2025-06-05T23:20:16.6397747Z Receiving objects:  24% (141394/579777), 377.39 MiB | 47.67 MiB/s
2025-06-05T23:20:16.6398196Z Receiving objects:  25% (144945/579777), 406.80 MiB | 47.63 MiB/s
2025-06-05T23:20:16.6398628Z Receiving objects:  25% (145135/579777), 414.20 MiB | 42.91 MiB/s
2025-06-05T23:20:16.6399099Z Receiving objects:  26% (150743/579777), 418.04 MiB | 37.11 MiB/s
2025-06-05T23:20:16.6399530Z Receiving objects:  26% (153479/579777), 443.97 MiB | 36.24 MiB/s
2025-06-05T23:20:30.9049804Z Receiving objects:  27% (156540/579777), 443.97 MiB | 36.24 MiB/s
2025-06-05T23:20:30.9050709Z Receiving objects:  27% (157422/579777), 471.46 MiB | 29.54 MiB/s
2025-06-05T23:20:30.9052076Z Receiving objects:  28% (162338/579777), 481.24 MiB | 28.89 MiB/s
2025-06-05T23:20:30.9052891Z Receiving objects:  29% (168136/579777), 481.24 MiB | 28.89 MiB/s
2025-06-05T23:20:30.9053844Z Receiving objects:  29% (170007/579777), 506.16 MiB | 33.53 MiB/s
2025-06-05T23:20:30.9054676Z Receiving objects:  29% (170127/579777), 524.32 MiB | 26.11 MiB/s
2025-06-05T23:20:30.9055487Z Receiving objects:  30% (173934/579777), 524.32 MiB | 26.11 MiB/s
2025-06-05T23:20:30.9056309Z Receiving objects:  31% (179731/579777), 544.48 MiB | 28.95 MiB/s
2025-06-05T23:20:30.9057126Z Receiving objects:  32% (185529/579777), 544.48 MiB | 28.95 MiB/s
2025-06-05T23:20:30.9057937Z Receiving objects:  33% (191327/579777), 544.48 MiB | 28.95 MiB/s
2025-06-05T23:20:30.9058774Z Receiving objects:  33% (194674/579777), 544.48 MiB | 28.95 MiB/s
2025-06-05T23:20:30.9059582Z Receiving objects:  34% (197125/579777), 570.12 MiB | 33.80 MiB/s
2025-06-05T23:20:30.9060420Z Receiving objects:  35% (202922/579777), 570.12 MiB | 33.80 MiB/s
2025-06-05T23:20:30.9061246Z Receiving objects:  36% (208720/579777), 570.12 MiB | 33.80 MiB/s
2025-06-05T23:20:30.9062061Z Receiving objects:  37% (214518/579777), 590.93 MiB | 32.66 MiB/s
2025-06-05T23:20:30.9062877Z Receiving objects:  37% (215794/579777), 600.11 MiB | 29.49 MiB/s
2025-06-05T23:20:30.9063671Z Receiving objects:  38% (220316/579777), 604.10 MiB | 29.48 MiB/s
2025-06-05T23:20:30.9064481Z Receiving objects:  39% (226114/579777), 604.10 MiB | 29.48 MiB/s
2025-06-05T23:20:30.9065291Z Receiving objects:  39% (228228/579777), 604.10 MiB | 29.48 MiB/s
2025-06-05T23:20:30.9066117Z Receiving objects:  40% (231911/579777), 623.94 MiB | 31.72 MiB/s
2025-06-05T23:20:30.9066892Z Receiving objects:  41% (237709/579777), 623.94 MiB | 31.72 MiB/s
2025-06-05T23:20:30.9067729Z Receiving objects:  42% (243507/579777), 623.94 MiB | 31.72 MiB/s
2025-06-05T23:20:30.9068483Z Receiving objects:  43% (249305/579777), 623.94 MiB | 31.72 MiB/s
2025-06-05T23:20:30.9069299Z Receiving objects:  44% (255102/579777), 639.52 MiB | 29.63 MiB/s
2025-06-05T23:20:30.9070117Z Receiving objects:  45% (260900/579777), 639.52 MiB | 29.63 MiB/s
2025-06-05T23:20:30.9070940Z Receiving objects:  45% (262458/579777), 643.53 MiB | 27.39 MiB/s
2025-06-05T23:20:30.9071763Z Receiving objects:  46% (266698/579777), 643.53 MiB | 27.39 MiB/s
2025-06-05T23:20:30.9072576Z Receiving objects:  47% (272496/579777), 658.88 MiB | 29.91 MiB/s
2025-06-05T23:20:30.9073410Z Receiving objects:  48% (278293/579777), 658.88 MiB | 29.91 MiB/s
2025-06-05T23:20:30.9074227Z Receiving objects:  49% (284091/579777), 658.88 MiB | 29.91 MiB/s
2025-06-05T23:20:30.9075039Z Receiving objects:  50% (289889/579777), 658.88 MiB | 29.91 MiB/s
2025-06-05T23:20:30.9075865Z Receiving objects:  51% (295687/579777), 658.88 MiB | 29.91 MiB/s
2025-06-05T23:20:30.9076693Z Receiving objects:  52% (301485/579777), 658.88 MiB | 29.91 MiB/s
2025-06-05T23:20:30.9077506Z Receiving objects:  52% (303225/579777), 658.88 MiB | 29.91 MiB/s
2025-06-05T23:20:30.9078338Z Receiving objects:  53% (307282/579777), 688.47 MiB | 32.00 MiB/s
2025-06-05T23:20:30.9079410Z Receiving objects:  54% (313080/579777), 688.47 MiB | 32.00 MiB/s
2025-06-05T23:20:30.9080229Z Receiving objects:  55% (318878/579777), 688.47 MiB | 32.00 MiB/s
2025-06-05T23:20:30.9081035Z Receiving objects:  56% (324676/579777), 688.47 MiB | 32.00 MiB/s
2025-06-05T23:20:30.9081854Z Receiving objects:  57% (330473/579777), 688.47 MiB | 32.00 MiB/s
2025-06-05T23:20:30.9082656Z Receiving objects:  58% (336271/579777), 688.47 MiB | 32.00 MiB/s
2025-06-05T23:20:30.9083473Z Receiving objects:  59% (342069/579777), 688.47 MiB | 32.00 MiB/s
2025-06-05T23:20:30.9084282Z Receiving objects:  60% (347867/579777), 688.47 MiB | 32.00 MiB/s
2025-06-05T23:20:30.9085101Z Receiving objects:  61% (353664/579777), 688.47 MiB | 32.00 MiB/s
2025-06-05T23:20:30.9085932Z Receiving objects:  62% (359462/579777), 713.32 MiB | 31.82 MiB/s
2025-06-05T23:20:30.9086763Z Receiving objects:  63% (365260/579777), 713.32 MiB | 31.82 MiB/s
2025-06-05T23:20:30.9087720Z Receiving objects:  64% (371058/579777), 713.32 MiB | 31.82 MiB/s
2025-06-05T23:20:30.9088554Z Receiving objects:  64% (371317/579777), 713.32 MiB | 31.82 MiB/s
2025-06-05T23:20:30.9089361Z Receiving objects:  65% (376856/579777), 740.98 MiB | 33.35 MiB/s
2025-06-05T23:20:30.9090197Z Receiving objects:  66% (382653/579777), 740.98 MiB | 33.35 MiB/s
2025-06-05T23:20:30.9091044Z Receiving objects:  67% (388451/579777), 740.98 MiB | 33.35 MiB/s
2025-06-05T23:20:30.9091880Z Receiving objects:  68% (394249/579777), 740.98 MiB | 33.35 MiB/s
2025-06-05T23:20:30.9092699Z Receiving objects:  69% (400047/579777), 740.98 MiB | 33.35 MiB/s
2025-06-05T23:20:30.9093618Z Receiving objects:  70% (405844/579777), 740.98 MiB | 33.35 MiB/s
2025-06-05T23:20:30.9094436Z Receiving objects:  71% (411642/579777), 740.98 MiB | 33.35 MiB/s
2025-06-05T23:20:30.9095251Z Receiving objects:  72% (417440/579777), 740.98 MiB | 33.35 MiB/s
2025-06-05T23:20:30.9096061Z Receiving objects:  73% (423238/579777), 740.98 MiB | 33.35 MiB/s
2025-06-05T23:20:30.9096913Z Receiving objects:  74% (429035/579777), 740.98 MiB | 33.35 MiB/s
2025-06-05T23:20:30.9097748Z Receiving objects:  75% (434833/579777), 767.36 MiB | 37.17 MiB/s
2025-06-05T23:20:30.9098562Z Receiving objects:  76% (440631/579777), 767.36 MiB | 37.17 MiB/s
2025-06-05T23:20:30.9099399Z Receiving objects:  77% (446429/579777), 767.36 MiB | 37.17 MiB/s
2025-06-05T23:20:30.9100222Z Receiving objects:  78% (452227/579777), 767.36 MiB | 37.17 MiB/s
2025-06-05T23:20:30.9101054Z Receiving objects:  79% (458024/579777), 767.36 MiB | 37.17 MiB/s
2025-06-05T23:20:30.9101863Z Receiving objects:  80% (463822/579777), 767.36 MiB | 37.17 MiB/s
2025-06-05T23:20:30.9102702Z Receiving objects:  81% (469620/579777), 767.36 MiB | 37.17 MiB/s
2025-06-05T23:20:30.9103527Z Receiving objects:  82% (475418/579777), 767.36 MiB | 37.17 MiB/s
2025-06-05T23:20:30.9104363Z Receiving objects:  82% (476270/579777), 767.36 MiB | 37.17 MiB/s
2025-06-05T23:20:30.9105207Z Receiving objects:  83% (481215/579777), 791.45 MiB | 41.63 MiB/s
2025-06-05T23:20:30.9106035Z Receiving objects:  84% (487013/579777), 791.45 MiB | 41.63 MiB/s
2025-06-05T23:20:30.9106859Z Receiving objects:  85% (492811/579777), 791.45 MiB | 41.63 MiB/s
2025-06-05T23:20:30.9107677Z Receiving objects:  86% (498609/579777), 791.45 MiB | 41.63 MiB/s
2025-06-05T23:20:30.9108481Z Receiving objects:  87% (504406/579777), 791.45 MiB | 41.63 MiB/s
2025-06-05T23:20:30.9109295Z Receiving objects:  88% (510204/579777), 791.45 MiB | 41.63 MiB/s
2025-06-05T23:20:30.9110089Z Receiving objects:  89% (516002/579777), 791.45 MiB | 41.63 MiB/s
2025-06-05T23:20:30.9110899Z Receiving objects:  90% (521800/579777), 791.45 MiB | 41.63 MiB/s
2025-06-05T23:20:30.9111699Z Receiving objects:  91% (527598/579777), 791.45 MiB | 41.63 MiB/s
2025-06-05T23:20:30.9112520Z Receiving objects:  92% (533395/579777), 791.45 MiB | 41.63 MiB/s
2025-06-05T23:20:30.9113310Z Receiving objects:  93% (539193/579777), 791.45 MiB | 41.63 MiB/s
2025-06-05T23:20:30.9114144Z Receiving objects:  94% (544991/579777), 791.45 MiB | 41.63 MiB/s
2025-06-05T23:20:30.9115117Z Receiving objects:  95% (550789/579777), 791.45 MiB | 41.63 MiB/s
2025-06-05T23:20:30.9115916Z Receiving objects:  96% (556586/579777), 791.45 MiB | 41.63 MiB/s
2025-06-05T23:20:30.9116734Z Receiving objects:  97% (562384/579777), 791.45 MiB | 41.63 MiB/s
2025-06-05T23:20:30.9117562Z Receiving objects:  98% (568182/579777), 817.17 MiB | 42.94 MiB/s
2025-06-05T23:20:30.9118398Z Receiving objects:  98% (570040/579777), 817.17 MiB | 42.94 MiB/s
2025-06-05T23:20:30.9119212Z Receiving objects:  98% (570138/579777), 841.82 MiB | 44.06 MiB/s
2025-06-05T23:20:30.9120056Z Receiving objects:  99% (573980/579777), 860.05 MiB | 44.70 MiB/s
2025-06-05T23:20:30.9121440Z remote: Total 579777 (delta 282), reused 118 (delta 118), pack-reused 579222 (from 2)
2025-06-05T23:20:30.9122448Z Receiving objects: 100% (579777/579777), 860.05 MiB | 44.70 MiB/s
2025-06-05T23:20:30.9123348Z Receiving objects: 100% (579777/579777), 866.84 MiB | 39.13 MiB/s, done.
2025-06-05T23:20:30.9124194Z Resolving deltas:   0% (0/446820)
2025-06-05T23:20:30.9124717Z Resolving deltas:   1% (4469/446820)
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2025-06-05T23:22:17.0277476Z Resolving deltas: 100% (446820/446820), done.
2025-06-05T23:22:17.0278077Z Updating files:  92% (14720/15857)
2025-06-05T23:22:17.0278367Z Updating files:  93% (14748/15857)
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2025-06-05T23:22:17.0279839Z Updating files:  98% (15540/15857)
2025-06-05T23:22:17.0280154Z Updating files:  99% (15699/15857)
2025-06-05T23:22:17.0280429Z Updating files: 100% (15857/15857)
2025-06-05T23:22:17.0280700Z Updating files: 100% (15857/15857), done.
2025-06-05T23:22:17.0281049Z + cd openvino
2025-06-05T23:22:17.0281264Z + git checkout releases/2025/1
2025-06-05T23:22:17.0281751Z Branch 'releases/2025/1' set up to track remote branch 'releases/2025/1' from 'origin'.
2025-06-05T23:22:17.0282225Z Switched to a new branch 'releases/2025/1'
2025-06-05T23:22:17.0282625Z + git submodule update --init --recursive
2025-06-05T23:22:17.0283455Z Submodule 'ncc' (https://github.com/nithinn/ncc.git) registered for path 'cmake/developer_package/ncc_naming_style/ncc'
2025-06-05T23:22:17.0284685Z Submodule 'src/bindings/python/thirdparty/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'src/bindings/python/thirdparty/pybind11'
2025-06-05T23:22:17.0286062Z Submodule 'ARMComputeLibrary' (https://github.com/ARM-software/ComputeLibrary.git) registered for path 'src/plugins/intel_cpu/thirdparty/ComputeLibrary'
2025-06-05T23:22:17.0287481Z Submodule 'src/plugins/intel_cpu/thirdparty/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'src/plugins/intel_cpu/thirdparty/kleidiai'
2025-06-05T23:22:17.0288917Z Submodule 'src/plugins/intel_cpu/thirdparty/libxsmm' (https://github.com/libxsmm/libxsmm.git) registered for path 'src/plugins/intel_cpu/thirdparty/libxsmm'
2025-06-05T23:22:17.0290321Z Submodule 'src/plugins/intel_cpu/thirdparty/mlas' (https://github.com/openvinotoolkit/mlas.git) registered for path 'src/plugins/intel_cpu/thirdparty/mlas'
2025-06-05T23:22:17.0291743Z Submodule 'src/plugins/intel_cpu/thirdparty/onednn' (https://github.com/openvinotoolkit/oneDNN.git) registered for path 'src/plugins/intel_cpu/thirdparty/onednn'
2025-06-05T23:22:17.0293223Z Submodule 'src/plugins/intel_cpu/thirdparty/shl' (https://github.com/openvinotoolkit/shl.git) registered for path 'src/plugins/intel_cpu/thirdparty/shl'
2025-06-05T23:22:17.0294638Z Submodule 'src/plugins/intel_cpu/thirdparty/xbyak_riscv' (https://github.com/herumi/xbyak_riscv.git) registered for path 'src/plugins/intel_cpu/thirdparty/xbyak_riscv'
2025-06-05T23:22:17.0295921Z Submodule 'thirdparty/onednn_gpu' (https://github.com/oneapi-src/oneDNN.git) registered for path 'src/plugins/intel_gpu/thirdparty/onednn_gpu'
2025-06-05T23:22:17.0297398Z Submodule 'src/plugins/intel_npu/thirdparty/level-zero-ext' (https://github.com/intel/level-zero-npu-extensions.git) registered for path 'src/plugins/intel_npu/thirdparty/level-zero-ext'
2025-06-05T23:22:17.0298978Z Submodule 'src/plugins/intel_npu/thirdparty/yaml-cpp' (https://github.com/jbeder/yaml-cpp.git) registered for path 'src/plugins/intel_npu/thirdparty/yaml-cpp'
2025-06-05T23:22:17.0300302Z Submodule 'thirdparty/flatbuffers/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'thirdparty/flatbuffers/flatbuffers'
2025-06-05T23:22:17.0301428Z Submodule 'thirdparty/gflags/gflags' (https://github.com/gflags/gflags.git) registered for path 'thirdparty/gflags/gflags'
2025-06-05T23:22:17.0302544Z Submodule 'thirdparty/gtest/gtest' (https://github.com/openvinotoolkit/googletest.git) registered for path 'thirdparty/gtest/gtest'
2025-06-05T23:22:17.0303580Z Submodule 'thirdparty/ittapi/ittapi' (https://github.com/intel/ittapi.git) registered for path 'thirdparty/ittapi/ittapi'
2025-06-05T23:22:17.0304611Z Submodule 'thirdparty/json/nlohmann_json' (https://github.com/nlohmann/json.git) registered for path 'thirdparty/json/nlohmann_json'
2025-06-05T23:22:17.0305730Z Submodule 'thirdparty/level_zero/level-zero' (https://github.com/oneapi-src/level-zero.git) registered for path 'thirdparty/level_zero/level-zero'
2025-06-05T23:22:17.0307027Z Submodule 'thirdparty/ocl/cl_headers' (https://github.com/KhronosGroup/OpenCL-Headers.git) registered for path 'thirdparty/ocl/cl_headers'
2025-06-05T23:22:17.0308181Z Submodule 'thirdparty/ocl/clhpp_headers' (https://github.com/KhronosGroup/OpenCL-CLHPP.git) registered for path 'thirdparty/ocl/clhpp_headers'
2025-06-05T23:22:17.0309340Z Submodule 'thirdparty/ocl/icd_loader' (https://github.com/KhronosGroup/OpenCL-ICD-Loader.git) registered for path 'thirdparty/ocl/icd_loader'
2025-06-05T23:22:17.0310342Z Submodule 'thirdparty/onnx' (https://github.com/onnx/onnx.git) registered for path 'thirdparty/onnx/onnx'
2025-06-05T23:22:17.0311321Z Submodule 'thirdparty/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'thirdparty/protobuf/protobuf'
2025-06-05T23:22:17.0312386Z Submodule 'thirdparty/pugixml' (https://github.com/zeux/pugixml.git) registered for path 'thirdparty/pugixml'
2025-06-05T23:22:17.0313336Z Submodule 'thirdparty/snappy' (https://github.com/google/snappy.git) registered for path 'thirdparty/snappy'
2025-06-05T23:22:17.0314295Z Submodule 'thirdparty/telemetry' (https://github.com/openvinotoolkit/telemetry.git) registered for path 'thirdparty/telemetry'
2025-06-05T23:22:17.0315252Z Submodule 'thirdparty/xbyak' (https://github.com/herumi/xbyak.git) registered for path 'thirdparty/xbyak'
2025-06-05T23:22:17.0316130Z Submodule 'thirdparty/zlib/zlib' (https://github.com/madler/zlib.git) registered for path 'thirdparty/zlib/zlib'
2025-06-05T23:22:17.0316949Z Cloning into '/pytorch/executorch/openvino/cmake/developer_package/ncc_naming_style/ncc'...
2025-06-05T23:22:17.0317681Z Cloning into '/pytorch/executorch/openvino/src/bindings/python/thirdparty/pybind11'...
2025-06-05T23:22:17.0318413Z Cloning into '/pytorch/executorch/openvino/src/plugins/intel_cpu/thirdparty/ComputeLibrary'...
2025-06-05T23:22:17.0319166Z Cloning into '/pytorch/executorch/openvino/src/plugins/intel_cpu/thirdparty/kleidiai'...
2025-06-05T23:22:17.0319881Z Cloning into '/pytorch/executorch/openvino/src/plugins/intel_cpu/thirdparty/libxsmm'...
2025-06-05T23:22:17.0320560Z Cloning into '/pytorch/executorch/openvino/src/plugins/intel_cpu/thirdparty/mlas'...
2025-06-05T23:22:17.0321245Z Cloning into '/pytorch/executorch/openvino/src/plugins/intel_cpu/thirdparty/onednn'...
2025-06-05T23:22:17.0321915Z Cloning into '/pytorch/executorch/openvino/src/plugins/intel_cpu/thirdparty/shl'...
2025-06-05T23:22:17.0322623Z Cloning into '/pytorch/executorch/openvino/src/plugins/intel_cpu/thirdparty/xbyak_riscv'...
2025-06-05T23:22:17.0323403Z Cloning into '/pytorch/executorch/openvino/src/plugins/intel_gpu/thirdparty/onednn_gpu'...
2025-06-05T23:22:17.0324186Z Cloning into '/pytorch/executorch/openvino/src/plugins/intel_npu/thirdparty/level-zero-ext'...
2025-06-05T23:22:17.0324931Z Cloning into '/pytorch/executorch/openvino/src/plugins/intel_npu/thirdparty/yaml-cpp'...
2025-06-05T23:22:17.0325615Z Cloning into '/pytorch/executorch/openvino/thirdparty/flatbuffers/flatbuffers'...
2025-06-05T23:22:17.0326260Z Cloning into '/pytorch/executorch/openvino/thirdparty/gflags/gflags'...
2025-06-05T23:22:17.0326812Z Cloning into '/pytorch/executorch/openvino/thirdparty/gtest/gtest'...
2025-06-05T23:22:17.0327356Z Cloning into '/pytorch/executorch/openvino/thirdparty/ittapi/ittapi'...
2025-06-05T23:22:17.0327933Z Cloning into '/pytorch/executorch/openvino/thirdparty/json/nlohmann_json'...
2025-06-05T23:22:17.0328549Z Cloning into '/pytorch/executorch/openvino/thirdparty/level_zero/level-zero'...
2025-06-05T23:22:17.0329332Z Cloning into '/pytorch/executorch/openvino/thirdparty/ocl/cl_headers'...
2025-06-05T23:22:17.0329922Z Cloning into '/pytorch/executorch/openvino/thirdparty/ocl/clhpp_headers'...
2025-06-05T23:22:17.0330501Z Cloning into '/pytorch/executorch/openvino/thirdparty/ocl/icd_loader'...
2025-06-05T23:22:17.0331042Z Cloning into '/pytorch/executorch/openvino/thirdparty/onnx/onnx'...
2025-06-05T23:22:17.0331752Z Cloning into '/pytorch/executorch/openvino/thirdparty/protobuf/protobuf'...
2025-06-05T23:22:22.7668221Z Cloning into '/pytorch/executorch/openvino/thirdparty/pugixml'...
2025-06-05T23:22:22.7669141Z Cloning into '/pytorch/executorch/openvino/thirdparty/snappy'...
2025-06-05T23:22:22.7669737Z Cloning into '/pytorch/executorch/openvino/thirdparty/telemetry'...
2025-06-05T23:22:22.7670433Z Cloning into '/pytorch/executorch/openvino/thirdparty/xbyak'...
2025-06-05T23:22:22.7671236Z Cloning into '/pytorch/executorch/openvino/thirdparty/zlib/zlib'...
2025-06-05T23:22:22.7672134Z Submodule path 'cmake/developer_package/ncc_naming_style/ncc': checked out '63e59ed312ba7a946779596e86124c1633f67607'
2025-06-05T23:22:22.7673051Z Submodule path 'src/bindings/python/thirdparty/pybind11': checked out '7c33cdc2d39c7b99a122579f53bc94c8eb3332ff'
2025-06-05T23:22:22.7673991Z Submodule path 'src/plugins/intel_cpu/thirdparty/ComputeLibrary': checked out 'c61bd3387403b76d618915ccebf5e9585f52a071'
2025-06-05T23:22:22.7675711Z Submodule path 'src/plugins/intel_cpu/thirdparty/kleidiai': checked out 'eaf63a6ae9a903fb4fa8a4d004a974995011f444'
2025-06-05T23:22:22.7676638Z Submodule path 'src/plugins/intel_cpu/thirdparty/libxsmm': checked out '13df674c4b73a1b84f6456de8595903ebfbb43e0'
2025-06-05T23:22:22.7677511Z Submodule path 'src/plugins/intel_cpu/thirdparty/mlas': checked out 'd1bc25ec4660cddd87804fcf03b2411b5dfb2e94'
2025-06-05T23:22:22.7678387Z Submodule path 'src/plugins/intel_cpu/thirdparty/onednn': checked out '5baba714e16e11309774a62783f363cad30e97c7'
2025-06-05T23:22:22.7679242Z Submodule path 'src/plugins/intel_cpu/thirdparty/shl': checked out '27992eaf41ef967ed228ea8d801b1aa489ea8997'
2025-06-05T23:22:22.7680220Z Submodule 'module/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'src/plugins/intel_cpu/thirdparty/shl/module/dlpack'
2025-06-05T23:22:22.7681167Z Cloning into '/pytorch/executorch/openvino/src/plugins/intel_cpu/thirdparty/shl/module/dlpack'...
2025-06-05T23:22:22.7682078Z Submodule path 'src/plugins/intel_cpu/thirdparty/shl/module/dlpack': checked out 'ca4d00ad3e2e0f410eeab3264d21b8a39397f362'
2025-06-05T23:22:22.7683078Z Submodule path 'src/plugins/intel_cpu/thirdparty/xbyak_riscv': checked out '0233c991a0c1608be671dc63d63f450e7a2178ff'
2025-06-05T23:22:22.7683995Z Submodule path 'src/plugins/intel_gpu/thirdparty/onednn_gpu': checked out 'fb61a91dd068f9f5abfe2629edbd7cdf53712c7a'
2025-06-05T23:22:22.7684919Z Submodule path 'src/plugins/intel_npu/thirdparty/level-zero-ext': checked out 'c0156a3390ae39671ff8f2a6f5471f04bb65bb12'
2025-06-05T23:22:22.7685838Z Submodule path 'src/plugins/intel_npu/thirdparty/yaml-cpp': checked out 'da82fd982c260e7f335ce5acbceff24b270544d1'
2025-06-05T23:22:22.7686733Z Submodule path 'thirdparty/flatbuffers/flatbuffers': checked out '595bf0007ab1929570c7671f091313c8fc20644e'
2025-06-05T23:22:22.7687527Z Submodule path 'thirdparty/gflags/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-06-05T23:22:22.7688315Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'thirdparty/gflags/gflags/doc'
2025-06-05T23:22:22.7689033Z Cloning into '/pytorch/executorch/openvino/thirdparty/gflags/gflags/doc'...
2025-06-05T23:22:22.7689723Z Submodule path 'thirdparty/gflags/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-06-05T23:22:22.7690480Z Submodule path 'thirdparty/gtest/gtest': checked out '99760ac1776430f3df65947992bf4e8ebc0d7660'
2025-06-05T23:22:22.7691209Z Submodule path 'thirdparty/ittapi/ittapi': checked out '8e526a82cc805665ef4513399aaea8a5dccfd66f'
2025-06-05T23:22:22.7692002Z remote: Enumerating objects: 35016, done.
2025-06-05T23:22:22.7692401Z remote: Counting objects:   0% (1/35015)
2025-06-05T23:22:22.7692782Z remote: Counting objects:   1% (351/35015)
2025-06-05T23:22:22.7693294Z remote: Counting objects:   2% (701/35015)
2025-06-05T23:22:22.7693680Z remote: Counting objects:   3% (1051/35015)
2025-06-05T23:22:22.7694089Z remote: Counting objects:   4% (1401/35015)
2025-06-05T23:22:22.7694605Z remote: Counting objects:   5% (1751/35015)
2025-06-05T23:22:22.7695004Z remote: Counting objects:   6% (2101/35015)
2025-06-05T23:22:22.7695387Z remote: Counting objects:   7% (2452/35015)
2025-06-05T23:22:22.7695782Z remote: Counting objects:   8% (2802/35015)
2025-06-05T23:22:22.7696181Z remote: Counting objects:   9% (3152/35015)
2025-06-05T23:22:22.7696560Z remote: Counting objects:  10% (3502/35015)
2025-06-05T23:22:22.7696951Z remote: Counting objects:  11% (3852/35015)
2025-06-05T23:22:22.7697328Z remote: Counting objects:  12% (4202/35015)
2025-06-05T23:22:22.7697720Z remote: Counting objects:  13% (4552/35015)
2025-06-05T23:22:22.7698095Z remote: Counting objects:  14% (4903/35015)
2025-06-05T23:22:22.7698484Z remote: Counting objects:  15% (5253/35015)
2025-06-05T23:22:22.7698861Z remote: Counting objects:  16% (5603/35015)
2025-06-05T23:22:22.7699250Z remote: Counting objects:  17% (5953/35015)
2025-06-05T23:22:22.7699707Z remote: Counting objects:  18% (6303/35015)
2025-06-05T23:22:22.7700093Z remote: Counting objects:  19% (6653/35015)
2025-06-05T23:22:22.7700479Z remote: Counting objects:  20% (7003/35015)
2025-06-05T23:22:22.7700856Z remote: Counting objects:  21% (7354/35015)
2025-06-05T23:22:22.7701245Z remote: Counting objects:  22% (7704/35015)
2025-06-05T23:22:22.7701620Z remote: Counting objects:  23% (8054/35015)
2025-06-05T23:22:22.7702011Z remote: Counting objects:  24% (8404/35015)
2025-06-05T23:22:22.7702385Z remote: Counting objects:  25% (8754/35015)
2025-06-05T23:22:22.7702778Z remote: Counting objects:  26% (9104/35015)
2025-06-05T23:22:22.7703170Z remote: Counting objects:  27% (9455/35015)
2025-06-05T23:22:22.7703547Z remote: Counting objects:  28% (9805/35015)
2025-06-05T23:22:22.7703944Z remote: Counting objects:  29% (10155/35015)
2025-06-05T23:22:22.7704335Z remote: Counting objects:  30% (10505/35015)
2025-06-05T23:22:22.7704742Z remote: Counting objects:  31% (10855/35015)
2025-06-05T23:22:22.7705131Z remote: Counting objects:  32% (11205/35015)
2025-06-05T23:22:22.7705524Z remote: Counting objects:  33% (11555/35015)
2025-06-05T23:22:22.7705908Z remote: Counting objects:  34% (11906/35015)
2025-06-05T23:22:22.7706302Z remote: Counting objects:  35% (12256/35015)
2025-06-05T23:22:22.7706701Z remote: Counting objects:  36% (12606/35015)
2025-06-05T23:22:22.7707085Z remote: Counting objects:  37% (12956/35015)
2025-06-05T23:22:22.7707482Z remote: Counting objects:  38% (13306/35015)
2025-06-05T23:22:22.7707862Z remote: Counting objects:  39% (13656/35015)
2025-06-05T23:22:22.7708256Z remote: Counting objects:  40% (14006/35015)
2025-06-05T23:22:22.7708640Z remote: Counting objects:  41% (14357/35015)
2025-06-05T23:22:22.7709036Z remote: Counting objects:  42% (14707/35015)
2025-06-05T23:22:22.7709433Z remote: Counting objects:  43% (15057/35015)
2025-06-05T23:22:22.7709822Z remote: Counting objects:  44% (15407/35015)
2025-06-05T23:22:22.7710226Z remote: Counting objects:  45% (15757/35015)
2025-06-05T23:22:22.7710612Z remote: Counting objects:  46% (16107/35015)
2025-06-05T23:22:22.7711007Z remote: Counting objects:  47% (16458/35015)
2025-06-05T23:22:22.7711390Z remote: Counting objects:  48% (16808/35015)
2025-06-05T23:22:22.7711784Z remote: Counting objects:  49% (17158/35015)
2025-06-05T23:22:22.7712166Z remote: Counting objects:  50% (17508/35015)
2025-06-05T23:22:22.7712565Z remote: Counting objects:  51% (17858/35015)
2025-06-05T23:22:22.7712961Z remote: Counting objects:  52% (18208/35015)
2025-06-05T23:22:22.7713343Z remote: Counting objects:  53% (18558/35015)
2025-06-05T23:22:22.7713739Z remote: Counting objects:  54% (18909/35015)
2025-06-05T23:22:22.7714124Z remote: Counting objects:  55% (19259/35015)
2025-06-05T23:22:22.7714517Z remote: Counting objects:  56% (19609/35015)
2025-06-05T23:22:22.7714900Z remote: Counting objects:  57% (19959/35015)
2025-06-05T23:22:22.7715300Z remote: Counting objects:  58% (20309/35015)
2025-06-05T23:22:22.7715771Z remote: Counting objects:  59% (20659/35015)
2025-06-05T23:22:22.7716170Z remote: Counting objects:  60% (21009/35015)
2025-06-05T23:22:22.7716572Z remote: Counting objects:  61% (21360/35015)
2025-06-05T23:22:22.7716956Z remote: Counting objects:  62% (21710/35015)
2025-06-05T23:22:22.7717354Z remote: Counting objects:  63% (22060/35015)
2025-06-05T23:22:22.7717739Z remote: Counting objects:  64% (22410/35015)
2025-06-05T23:22:22.7718133Z remote: Counting objects:  65% (22760/35015)
2025-06-05T23:22:22.7718518Z remote: Counting objects:  66% (23110/35015)
2025-06-05T23:22:22.7718914Z remote: Counting objects:  67% (23461/35015)
2025-06-05T23:22:22.7719297Z remote: Counting objects:  68% (23811/35015)
2025-06-05T23:22:22.7719691Z remote: Counting objects:  69% (24161/35015)
2025-06-05T23:22:22.7720088Z remote: Counting objects:  70% (24511/35015)
2025-06-05T23:22:22.7720533Z remote: Counting objects:  71% (24861/35015)
2025-06-05T23:22:22.7720937Z remote: Counting objects:  72% (25211/35015)
2025-06-05T23:22:22.7721319Z remote: Counting objects:  73% (25561/35015)
2025-06-05T23:22:22.7721715Z remote: Counting objects:  74% (25912/35015)
2025-06-05T23:22:22.7722096Z remote: Counting objects:  75% (26262/35015)
2025-06-05T23:22:22.7722492Z remote: Counting objects:  76% (26612/35015)
2025-06-05T23:22:22.7722873Z remote: Counting objects:  77% (26962/35015)
2025-06-05T23:22:22.7723272Z remote: Counting objects:  78% (27312/35015)
2025-06-05T23:22:22.7723676Z remote: Counting objects:  79% (27662/35015)
2025-06-05T23:22:22.7724061Z remote: Counting objects:  80% (28012/35015)
2025-06-05T23:22:22.7724458Z remote: Counting objects:  81% (28363/35015)
2025-06-05T23:22:22.7724842Z remote: Counting objects:  82% (28713/35015)
2025-06-05T23:22:22.7725239Z remote: Counting objects:  83% (29063/35015)
2025-06-05T23:22:22.7725619Z remote: Counting objects:  84% (29413/35015)
2025-06-05T23:22:22.7726020Z remote: Counting objects:  85% (29763/35015)
2025-06-05T23:22:22.7726404Z remote: Counting objects:  86% (30113/35015)
2025-06-05T23:22:22.7726798Z remote: Counting objects:  87% (30464/35015)
2025-06-05T23:22:22.7727201Z remote: Counting objects:  88% (30814/35015)
2025-06-05T23:22:22.7727584Z remote: Counting objects:  89% (31164/35015)
2025-06-05T23:22:22.7727980Z remote: Counting objects:  90% (31514/35015)
2025-06-05T23:22:22.7728363Z remote: Counting objects:  91% (31864/35015)
2025-06-05T23:22:22.7729046Z remote: Counting objects:  92% (32214/35015)
2025-06-05T23:22:22.7729436Z remote: Counting objects:  93% (32564/35015)
2025-06-05T23:22:22.7729838Z remote: Counting objects:  94% (32915/35015)
2025-06-05T23:22:22.7730226Z remote: Counting objects:  95% (33265/35015)
2025-06-05T23:22:22.7730629Z remote: Counting objects:  96% (33615/35015)
2025-06-05T23:22:22.7731029Z remote: Counting objects:  97% (33965/35015)
2025-06-05T23:22:22.7731426Z remote: Counting objects:  98% (34315/35015)
2025-06-05T23:22:22.7731833Z remote: Counting objects:  99% (34665/35015)
2025-06-05T23:22:22.7732221Z remote: Counting objects: 100% (35015/35015)
2025-06-05T23:22:22.7732654Z remote: Counting objects: 100% (35015/35015), done.
2025-06-05T23:22:22.7733150Z remote: Compressing objects:   0% (1/9391)
2025-06-05T23:22:22.7733560Z remote: Compressing objects:   1% (94/9391)
2025-06-05T23:22:22.7733956Z remote: Compressing objects:   2% (188/9391)
2025-06-05T23:22:22.7734370Z remote: Compressing objects:   3% (282/9391)
2025-06-05T23:22:22.7734779Z remote: Compressing objects:   4% (376/9391)
2025-06-05T23:22:22.7735171Z remote: Compressing objects:   5% (470/9391)
2025-06-05T23:22:22.7735576Z remote: Compressing objects:   6% (564/9391)
2025-06-05T23:22:22.7735968Z remote: Compressing objects:   7% (658/9391)
2025-06-05T23:22:22.7736368Z remote: Compressing objects:   8% (752/9391)
2025-06-05T23:22:22.7736765Z remote: Compressing objects:   9% (846/9391)
2025-06-05T23:22:26.3436823Z remote: Compressing objects:  10% (940/9391)
2025-06-05T23:22:26.3437653Z remote: Compressing objects:  11% (1034/9391)
2025-06-05T23:22:26.3438083Z remote: Compressing objects:  12% (1127/9391)
2025-06-05T23:22:26.3438484Z remote: Compressing objects:  13% (1221/9391)
2025-06-05T23:22:26.3438902Z remote: Compressing objects:  14% (1315/9391)
2025-06-05T23:22:26.3439299Z remote: Compressing objects:  15% (1409/9391)
2025-06-05T23:22:26.3439708Z remote: Compressing objects:  16% (1503/9391)
2025-06-05T23:22:26.3440106Z remote: Compressing objects:  17% (1597/9391)
2025-06-05T23:22:26.3440513Z remote: Compressing objects:  18% (1691/9391)
2025-06-05T23:22:26.3440906Z remote: Compressing objects:  19% (1785/9391)
2025-06-05T23:22:26.3441312Z remote: Compressing objects:  20% (1879/9391)
2025-06-05T23:22:26.3441715Z remote: Compressing objects:  21% (1973/9391)
2025-06-05T23:22:26.3442661Z remote: Compressing objects:  22% (2067/9391)
2025-06-05T23:22:26.3443101Z remote: Compressing objects:  23% (2160/9391)
2025-06-05T23:22:26.3443502Z remote: Compressing objects:  24% (2254/9391)
2025-06-05T23:22:26.3443914Z remote: Compressing objects:  25% (2348/9391)
2025-06-05T23:22:26.3444362Z remote: Compressing objects:  26% (2442/9391)
2025-06-05T23:22:26.3444754Z remote: Compressing objects:  27% (2536/9391)
2025-06-05T23:22:26.3445159Z remote: Compressing objects:  28% (2630/9391)
2025-06-05T23:22:26.3445564Z remote: Compressing objects:  29% (2724/9391)
2025-06-05T23:22:26.3445963Z remote: Compressing objects:  30% (2818/9391)
2025-06-05T23:22:26.3446372Z remote: Compressing objects:  31% (2912/9391)
2025-06-05T23:22:26.3446768Z remote: Compressing objects:  32% (3006/9391)
2025-06-05T23:22:26.3447183Z remote: Compressing objects:  33% (3100/9391)
2025-06-05T23:22:26.3447578Z remote: Compressing objects:  34% (3193/9391)
2025-06-05T23:22:26.3447990Z remote: Compressing objects:  35% (3287/9391)
2025-06-05T23:22:26.3448387Z remote: Compressing objects:  36% (3381/9391)
2025-06-05T23:22:26.3448789Z remote: Compressing objects:  37% (3475/9391)
2025-06-05T23:22:26.3449196Z remote: Compressing objects:  38% (3569/9391)
2025-06-05T23:22:26.3449589Z remote: Compressing objects:  39% (3663/9391)
2025-06-05T23:22:26.3449994Z remote: Compressing objects:  40% (3757/9391)
2025-06-05T23:22:26.3450387Z remote: Compressing objects:  41% (3851/9391)
2025-06-05T23:22:26.3450794Z remote: Compressing objects:  42% (3945/9391)
2025-06-05T23:22:26.3451189Z remote: Compressing objects:  43% (4039/9391)
2025-06-05T23:22:26.3451597Z remote: Compressing objects:  44% (4133/9391)
2025-06-05T23:22:26.3452004Z remote: Compressing objects:  45% (4226/9391)
2025-06-05T23:22:26.3452399Z remote: Compressing objects:  46% (4320/9391)
2025-06-05T23:22:26.3452809Z remote: Compressing objects:  47% (4414/9391)
2025-06-05T23:22:26.3453293Z remote: Compressing objects:  48% (4508/9391)
2025-06-05T23:22:26.3453715Z remote: Compressing objects:  49% (4602/9391)
2025-06-05T23:22:26.3454112Z remote: Compressing objects:  50% (4696/9391)
2025-06-05T23:22:26.3454520Z remote: Compressing objects:  51% (4790/9391)
2025-06-05T23:22:26.3454915Z remote: Compressing objects:  52% (4884/9391)
2025-06-05T23:22:26.3455322Z remote: Compressing objects:  53% (4978/9391)
2025-06-05T23:22:26.3455729Z remote: Compressing objects:  54% (5072/9391)
2025-06-05T23:22:26.3456124Z remote: Compressing objects:  55% (5166/9391)
2025-06-05T23:22:26.3456529Z remote: Compressing objects:  56% (5259/9391)
2025-06-05T23:22:26.3456925Z remote: Compressing objects:  57% (5353/9391)
2025-06-05T23:22:26.3457332Z remote: Compressing objects:  58% (5447/9391)
2025-06-05T23:22:26.3457723Z remote: Compressing objects:  59% (5541/9391)
2025-06-05T23:22:26.3458129Z remote: Compressing objects:  60% (5635/9391)
2025-06-05T23:22:26.3458521Z remote: Compressing objects:  61% (5729/9391)
2025-06-05T23:22:26.3459074Z remote: Compressing objects:  62% (5823/9391)
2025-06-05T23:22:26.3459488Z remote: Compressing objects:  63% (5917/9391)
2025-06-05T23:22:26.3459885Z remote: Compressing objects:  64% (6011/9391)
2025-06-05T23:22:26.3460296Z remote: Compressing objects:  65% (6105/9391)
2025-06-05T23:22:26.3460694Z remote: Compressing objects:  66% (6199/9391)
2025-06-05T23:22:26.3461104Z remote: Compressing objects:  67% (6292/9391)
2025-06-05T23:22:26.3461498Z remote: Compressing objects:  68% (6386/9391)
2025-06-05T23:22:26.3461905Z remote: Compressing objects:  69% (6480/9391)
2025-06-05T23:22:26.3462300Z remote: Compressing objects:  70% (6574/9391)
2025-06-05T23:22:26.3462707Z remote: Compressing objects:  71% (6668/9391)
2025-06-05T23:22:26.3463111Z remote: Compressing objects:  72% (6762/9391)
2025-06-05T23:22:26.3463503Z remote: Compressing objects:  73% (6856/9391)
2025-06-05T23:22:26.3463907Z remote: Compressing objects:  74% (6950/9391)
2025-06-05T23:22:26.3464399Z remote: Compressing objects:  75% (7044/9391)
2025-06-05T23:22:26.3464815Z remote: Compressing objects:  76% (7138/9391)
2025-06-05T23:22:26.3465208Z remote: Compressing objects:  77% (7232/9391)
2025-06-05T23:22:26.3465617Z remote: Compressing objects:  78% (7325/9391)
2025-06-05T23:22:26.3466016Z remote: Compressing objects:  79% (7419/9391)
2025-06-05T23:22:26.3466426Z remote: Compressing objects:  80% (7513/9391)
2025-06-05T23:22:26.3466835Z remote: Compressing objects:  81% (7607/9391)
2025-06-05T23:22:26.3467232Z remote: Compressing objects:  82% (7701/9391)
2025-06-05T23:22:26.3467646Z remote: Compressing objects:  83% (7795/9391)
2025-06-05T23:22:26.3468055Z remote: Compressing objects:  84% (7889/9391)
2025-06-05T23:22:26.3468465Z remote: Compressing objects:  85% (7983/9391)
2025-06-05T23:22:26.3468861Z remote: Compressing objects:  86% (8077/9391)
2025-06-05T23:22:26.3469271Z remote: Compressing objects:  87% (8171/9391)
2025-06-05T23:22:26.3469673Z remote: Compressing objects:  88% (8265/9391)
2025-06-05T23:22:26.3470088Z remote: Compressing objects:  89% (8358/9391)
2025-06-05T23:22:26.3470486Z remote: Compressing objects:  90% (8452/9391)
2025-06-05T23:22:26.3470897Z remote: Compressing objects:  91% (8546/9391)
2025-06-05T23:22:26.3471294Z remote: Compressing objects:  92% (8640/9391)
2025-06-05T23:22:26.3471709Z remote: Compressing objects:  93% (8734/9391)
2025-06-05T23:22:26.3472121Z remote: Compressing objects:  94% (8828/9391)
2025-06-05T23:22:26.3472521Z remote: Compressing objects:  95% (8922/9391)
2025-06-05T23:22:26.3472935Z remote: Compressing objects:  96% (9016/9391)
2025-06-05T23:22:26.3473332Z remote: Compressing objects:  97% (9110/9391)
2025-06-05T23:22:26.3473742Z remote: Compressing objects:  98% (9204/9391)
2025-06-05T23:22:26.3474138Z remote: Compressing objects:  99% (9298/9391)
2025-06-05T23:22:26.3474549Z remote: Compressing objects: 100% (9391/9391)
2025-06-05T23:22:26.3474981Z remote: Compressing objects: 100% (9391/9391), done.
2025-06-05T23:22:26.3475343Z Receiving objects:   0% (1/34566)
2025-06-05T23:22:26.3475631Z Receiving objects:   1% (346/34566)
2025-06-05T23:22:26.3475909Z Receiving objects:   2% (692/34566)
2025-06-05T23:22:26.3476193Z Receiving objects:   3% (1037/34566)
2025-06-05T23:22:26.3476476Z Receiving objects:   4% (1383/34566)
2025-06-05T23:22:26.3476759Z Receiving objects:   5% (1729/34566)
2025-06-05T23:22:26.3477035Z Receiving objects:   6% (2074/34566)
2025-06-05T23:22:26.3477318Z Receiving objects:   7% (2420/34566)
2025-06-05T23:22:26.3477587Z Receiving objects:   8% (2766/34566)
2025-06-05T23:22:26.3477868Z Receiving objects:   9% (3111/34566)
2025-06-05T23:22:26.3478139Z Receiving objects:  10% (3457/34566)
2025-06-05T23:22:26.3478420Z Receiving objects:  11% (3803/34566)
2025-06-05T23:22:26.3478703Z Receiving objects:  12% (4148/34566)
2025-06-05T23:22:26.3478975Z Receiving objects:  13% (4494/34566)
2025-06-05T23:22:26.3479262Z Receiving objects:  14% (4840/34566)
2025-06-05T23:22:26.3479613Z Receiving objects:  15% (5185/34566)
2025-06-05T23:22:26.3479898Z Receiving objects:  16% (5531/34566)
2025-06-05T23:22:26.3480170Z Receiving objects:  17% (5877/34566)
2025-06-05T23:22:26.3480458Z Receiving objects:  18% (6222/34566)
2025-06-05T23:22:26.3480729Z Receiving objects:  19% (6568/34566)
2025-06-05T23:22:26.3481015Z Receiving objects:  20% (6914/34566)
2025-06-05T23:22:26.3481286Z Receiving objects:  21% (7259/34566)
2025-06-05T23:22:26.3481571Z Receiving objects:  22% (7605/34566)
2025-06-05T23:22:26.3481856Z Receiving objects:  23% (7951/34566)
2025-06-05T23:22:26.3482128Z Receiving objects:  24% (8296/34566)
2025-06-05T23:22:26.3482410Z Receiving objects:  25% (8642/34566)
2025-06-05T23:22:26.3482683Z Receiving objects:  26% (8988/34566)
2025-06-05T23:22:26.3482967Z Receiving objects:  27% (9333/34566)
2025-06-05T23:22:26.3483239Z Receiving objects:  28% (9679/34566)
2025-06-05T23:22:26.3483529Z Receiving objects:  29% (10025/34566)
2025-06-05T23:22:26.3483868Z Receiving objects:  30% (10370/34566)
2025-06-05T23:22:26.3484166Z Receiving objects:  31% (10716/34566)
2025-06-05T23:22:26.3484459Z Receiving objects:  32% (11062/34566)
2025-06-05T23:22:26.3484736Z Receiving objects:  33% (11407/34566)
2025-06-05T23:22:26.3485029Z Receiving objects:  34% (11753/34566)
2025-06-05T23:22:26.3485308Z Receiving objects:  35% (12099/34566)
2025-06-05T23:22:26.3485600Z Receiving objects:  36% (12444/34566)
2025-06-05T23:22:26.3485874Z Receiving objects:  37% (12790/34566)
2025-06-05T23:22:26.3486161Z Receiving objects:  38% (13136/34566)
2025-06-05T23:22:26.3486436Z Receiving objects:  39% (13481/34566)
2025-06-05T23:22:26.3486722Z Receiving objects:  40% (13827/34566)
2025-06-05T23:22:26.3486996Z Receiving objects:  41% (14173/34566)
2025-06-05T23:22:26.3487282Z Receiving objects:  42% (14518/34566)
2025-06-05T23:22:26.3487568Z Receiving objects:  43% (14864/34566)
2025-06-05T23:22:26.3487843Z Receiving objects:  44% (15210/34566)
2025-06-05T23:22:26.3488133Z Receiving objects:  45% (15555/34566)
2025-06-05T23:22:26.3488411Z Receiving objects:  46% (15901/34566)
2025-06-05T23:22:26.3488700Z Receiving objects:  47% (16247/34566)
2025-06-05T23:22:26.3488973Z Receiving objects:  48% (16592/34566)
2025-06-05T23:22:26.3489261Z Receiving objects:  49% (16938/34566)
2025-06-05T23:22:26.3489534Z Receiving objects:  50% (17283/34566)
2025-06-05T23:22:26.3489823Z Receiving objects:  51% (17629/34566)
2025-06-05T23:22:26.3490111Z Receiving objects:  52% (17975/34566)
2025-06-05T23:22:26.3490386Z Receiving objects:  53% (18320/34566)
2025-06-05T23:22:26.3490673Z Receiving objects:  54% (18666/34566)
2025-06-05T23:22:26.3490946Z Receiving objects:  55% (19012/34566)
2025-06-05T23:22:26.3491231Z Receiving objects:  56% (19357/34566)
2025-06-05T23:22:26.3491506Z Receiving objects:  57% (19703/34566)
2025-06-05T23:22:26.3491794Z Receiving objects:  58% (20049/34566)
2025-06-05T23:22:26.3492068Z Receiving objects:  59% (20394/34566)
2025-06-05T23:22:26.3492357Z Receiving objects:  60% (20740/34566)
2025-06-05T23:22:26.3492636Z Receiving objects:  61% (21086/34566)
2025-06-05T23:22:26.3493078Z Receiving objects:  62% (21431/34566), 33.46 MiB | 66.91 MiB/s
2025-06-05T23:22:26.3493521Z Receiving objects:  63% (21777/34566), 33.46 MiB | 66.91 MiB/s
2025-06-05T23:22:26.3493938Z Receiving objects:  64% (22123/34566), 33.46 MiB | 66.91 MiB/s
2025-06-05T23:22:26.3494366Z Receiving objects:  65% (22468/34566), 33.46 MiB | 66.91 MiB/s
2025-06-05T23:22:26.3494781Z Receiving objects:  66% (22814/34566), 33.46 MiB | 66.91 MiB/s
2025-06-05T23:22:26.3495207Z Receiving objects:  67% (23160/34566), 33.46 MiB | 66.91 MiB/s
2025-06-05T23:22:26.3495623Z Receiving objects:  68% (23505/34566), 33.46 MiB | 66.91 MiB/s
2025-06-05T23:22:26.3496051Z Receiving objects:  69% (23851/34566), 33.46 MiB | 66.91 MiB/s
2025-06-05T23:22:26.3496482Z Receiving objects:  69% (24136/34566), 52.54 MiB | 52.53 MiB/s
2025-06-05T23:22:26.3496898Z Receiving objects:  70% (24197/34566), 52.54 MiB | 52.53 MiB/s
2025-06-05T23:22:26.3497329Z Receiving objects:  71% (24542/34566), 52.54 MiB | 52.53 MiB/s
2025-06-05T23:22:26.3497822Z Receiving objects:  71% (24855/34566), 96.23 MiB | 48.11 MiB/s
2025-06-05T23:22:26.3498253Z Receiving objects:  72% (24888/34566), 123.41 MiB | 49.36 MiB/s
2025-06-05T23:22:26.3498677Z Receiving objects:  73% (25234/34566), 123.41 MiB | 49.36 MiB/s
2025-06-05T23:22:26.3499111Z Receiving objects:  74% (25579/34566), 123.41 MiB | 49.36 MiB/s
2025-06-05T23:22:26.3499549Z Receiving objects:  75% (25925/34566), 123.41 MiB | 49.36 MiB/s
2025-06-05T23:22:26.3499968Z Receiving objects:  76% (26271/34566), 123.41 MiB | 49.36 MiB/s
2025-06-05T23:22:26.3500398Z Receiving objects:  76% (26438/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:26.3500817Z Receiving objects:  77% (26616/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:26.3501250Z Receiving objects:  78% (26962/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:26.3501670Z Receiving objects:  79% (27308/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2454923Z Receiving objects:  80% (27653/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2455776Z Receiving objects:  81% (27999/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2456292Z Receiving objects:  82% (28345/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2456728Z Receiving objects:  83% (28690/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2457195Z Receiving objects:  84% (29036/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2457616Z Receiving objects:  85% (29382/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2458049Z Receiving objects:  86% (29727/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2458484Z Receiving objects:  87% (30073/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2458902Z Receiving objects:  88% (30419/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2459337Z Receiving objects:  89% (30764/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2459756Z Receiving objects:  90% (31110/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2460193Z Receiving objects:  91% (31456/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2460617Z Receiving objects:  92% (31801/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2461053Z Receiving objects:  93% (32147/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2461483Z Receiving objects:  94% (32493/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2461903Z Receiving objects:  95% (32838/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2462332Z Receiving objects:  96% (33184/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2462750Z Receiving objects:  97% (33530/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2463181Z Receiving objects:  98% (33875/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2463597Z Receiving objects:  99% (34221/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2464368Z remote: Total 34566 (delta 22153), reused 33990 (delta 21585), pack-reused 0 (from 0)
2025-06-05T23:22:34.2464909Z Receiving objects: 100% (34566/34566), 154.18 MiB | 51.39 MiB/s
2025-06-05T23:22:34.2465376Z Receiving objects: 100% (34566/34566), 176.09 MiB | 53.38 MiB/s, done.
2025-06-05T23:22:34.2465782Z Resolving deltas:   0% (0/22153)
2025-06-05T23:22:34.2466048Z Resolving deltas:   1% (222/22153)
2025-06-05T23:22:34.2466331Z Resolving deltas:   2% (444/22153)
2025-06-05T23:22:34.2466596Z Resolving deltas:   3% (665/22153)
2025-06-05T23:22:34.2466872Z Resolving deltas:   4% (888/22153)
2025-06-05T23:22:34.2467138Z Resolving deltas:   5% (1108/22153)
2025-06-05T23:22:34.2467423Z Resolving deltas:   6% (1330/22153)
2025-06-05T23:22:34.2467707Z Resolving deltas:   7% (1552/22153)
2025-06-05T23:22:34.2467977Z Resolving deltas:   8% (1773/22153)
2025-06-05T23:22:34.2468257Z Resolving deltas:   9% (1994/22153)
2025-06-05T23:22:34.2468525Z Resolving deltas:  10% (2216/22153)
2025-06-05T23:22:34.2468804Z Resolving deltas:  11% (2437/22153)
2025-06-05T23:22:34.2469071Z Resolving deltas:  12% (2659/22153)
2025-06-05T23:22:34.2469349Z Resolving deltas:  13% (2880/22153)
2025-06-05T23:22:34.2469620Z Resolving deltas:  14% (3102/22153)
2025-06-05T23:22:34.2470075Z Resolving deltas:  15% (3323/22153)
2025-06-05T23:22:34.2470342Z Resolving deltas:  16% (3545/22153)
2025-06-05T23:22:34.2470623Z Resolving deltas:  17% (3767/22153)
2025-06-05T23:22:34.2470905Z Resolving deltas:  18% (3988/22153)
2025-06-05T23:22:34.2471170Z Resolving deltas:  19% (4211/22153)
2025-06-05T23:22:34.2471450Z Resolving deltas:  20% (4431/22153)
2025-06-05T23:22:34.2471715Z Resolving deltas:  21% (4654/22153)
2025-06-05T23:22:34.2471995Z Resolving deltas:  22% (4874/22153)
2025-06-05T23:22:34.2472263Z Resolving deltas:  23% (5098/22153)
2025-06-05T23:22:34.2472543Z Resolving deltas:  24% (5317/22153)
2025-06-05T23:22:34.2472812Z Resolving deltas:  25% (5539/22153)
2025-06-05T23:22:34.2473095Z Resolving deltas:  26% (5760/22153)
2025-06-05T23:22:34.2473379Z Resolving deltas:  27% (5982/22153)
2025-06-05T23:22:34.2473647Z Resolving deltas:  28% (6203/22153)
2025-06-05T23:22:34.2473927Z Resolving deltas:  29% (6427/22153)
2025-06-05T23:22:34.2474258Z Resolving deltas:  30% (6646/22153)
2025-06-05T23:22:34.2474542Z Resolving deltas:  31% (6868/22153)
2025-06-05T23:22:34.2474809Z Resolving deltas:  32% (7089/22153)
2025-06-05T23:22:34.2475086Z Resolving deltas:  33% (7312/22153)
2025-06-05T23:22:34.2475353Z Resolving deltas:  34% (7533/22153)
2025-06-05T23:22:34.2475634Z Resolving deltas:  35% (7754/22153)
2025-06-05T23:22:34.2475901Z Resolving deltas:  36% (7976/22153)
2025-06-05T23:22:34.2476183Z Resolving deltas:  37% (8197/22153)
2025-06-05T23:22:34.2476464Z Resolving deltas:  38% (8419/22153)
2025-06-05T23:22:34.2476732Z Resolving deltas:  39% (8640/22153)
2025-06-05T23:22:34.2477014Z Resolving deltas:  40% (8862/22153)
2025-06-05T23:22:34.2477281Z Resolving deltas:  41% (9084/22153)
2025-06-05T23:22:34.2477561Z Resolving deltas:  42% (9305/22153)
2025-06-05T23:22:34.2477829Z Resolving deltas:  43% (9526/22153)
2025-06-05T23:22:34.2478109Z Resolving deltas:  44% (9748/22153)
2025-06-05T23:22:34.2478375Z Resolving deltas:  45% (9969/22153)
2025-06-05T23:22:34.2478664Z Resolving deltas:  46% (10191/22153)
2025-06-05T23:22:34.2478940Z Resolving deltas:  47% (10412/22153)
2025-06-05T23:22:34.2479225Z Resolving deltas:  48% (10634/22153)
2025-06-05T23:22:34.2479507Z Resolving deltas:  49% (10855/22153)
2025-06-05T23:22:34.2479775Z Resolving deltas:  50% (11077/22153)
2025-06-05T23:22:34.2480053Z Resolving deltas:  51% (11299/22153)
2025-06-05T23:22:34.2480320Z Resolving deltas:  52% (11520/22153)
2025-06-05T23:22:34.2480599Z Resolving deltas:  53% (11742/22153)
2025-06-05T23:22:34.2480867Z Resolving deltas:  54% (11963/22153)
2025-06-05T23:22:34.2481148Z Resolving deltas:  55% (12185/22153)
2025-06-05T23:22:34.2481417Z Resolving deltas:  56% (12406/22153)
2025-06-05T23:22:34.2481695Z Resolving deltas:  57% (12628/22153)
2025-06-05T23:22:34.2481977Z Resolving deltas:  58% (12849/22153)
2025-06-05T23:22:34.2482245Z Resolving deltas:  59% (13071/22153)
2025-06-05T23:22:34.2482526Z Resolving deltas:  60% (13292/22153)
2025-06-05T23:22:34.2482798Z Resolving deltas:  61% (13514/22153)
2025-06-05T23:22:34.2483085Z Resolving deltas:  62% (13735/22153)
2025-06-05T23:22:34.2483352Z Resolving deltas:  63% (13957/22153)
2025-06-05T23:22:34.2483630Z Resolving deltas:  64% (14178/22153)
2025-06-05T23:22:34.2483899Z Resolving deltas:  64% (14253/22153)
2025-06-05T23:22:34.2484193Z Resolving deltas:  65% (14400/22153)
2025-06-05T23:22:34.2484478Z Resolving deltas:  66% (14621/22153)
2025-06-05T23:22:34.2484750Z Resolving deltas:  67% (14843/22153)
2025-06-05T23:22:34.2485040Z Resolving deltas:  68% (15065/22153)
2025-06-05T23:22:34.2485314Z Resolving deltas:  69% (15286/22153)
2025-06-05T23:22:34.2485600Z Resolving deltas:  70% (15508/22153)
2025-06-05T23:22:34.2485873Z Resolving deltas:  71% (15729/22153)
2025-06-05T23:22:34.2486159Z Resolving deltas:  72% (15951/22153)
2025-06-05T23:22:34.2486445Z Resolving deltas:  73% (16172/22153)
2025-06-05T23:22:34.2486717Z Resolving deltas:  74% (16394/22153)
2025-06-05T23:22:34.2487004Z Resolving deltas:  75% (16615/22153)
2025-06-05T23:22:34.2487472Z Resolving deltas:  76% (16837/22153)
2025-06-05T23:22:34.2487761Z Resolving deltas:  77% (17058/22153)
2025-06-05T23:22:34.2488032Z Resolving deltas:  78% (17280/22153)
2025-06-05T23:22:34.2488318Z Resolving deltas:  79% (17501/22153)
2025-06-05T23:22:34.2488593Z Resolving deltas:  80% (17723/22153)
2025-06-05T23:22:34.2488876Z Resolving deltas:  81% (17944/22153)
2025-06-05T23:22:34.2489166Z Resolving deltas:  82% (18166/22153)
2025-06-05T23:22:34.2489439Z Resolving deltas:  83% (18387/22153)
2025-06-05T23:22:34.2489723Z Resolving deltas:  84% (18609/22153)
2025-06-05T23:22:34.2489994Z Resolving deltas:  85% (18831/22153)
2025-06-05T23:22:34.2490274Z Resolving deltas:  86% (19052/22153)
2025-06-05T23:22:34.2490545Z Resolving deltas:  87% (19274/22153)
2025-06-05T23:22:34.2490822Z Resolving deltas:  88% (19495/22153)
2025-06-05T23:22:34.2491088Z Resolving deltas:  89% (19717/22153)
2025-06-05T23:22:34.2491367Z Resolving deltas:  90% (19938/22153)
2025-06-05T23:22:34.2491691Z Resolving deltas:  91% (20160/22153)
2025-06-05T23:22:34.2491975Z Resolving deltas:  92% (20381/22153)
2025-06-05T23:22:34.2492258Z Resolving deltas:  93% (20603/22153)
2025-06-05T23:22:34.2492525Z Resolving deltas:  94% (20824/22153)
2025-06-05T23:22:34.2492807Z Resolving deltas:  95% (21046/22153)
2025-06-05T23:22:34.2493160Z Resolving deltas:  96% (21267/22153)
2025-06-05T23:22:34.2493443Z Resolving deltas:  97% (21489/22153)
2025-06-05T23:22:34.2493712Z Resolving deltas:  98% (21710/22153)
2025-06-05T23:22:34.2493995Z Resolving deltas:  99% (21932/22153)
2025-06-05T23:22:34.2494263Z Resolving deltas: 100% (22153/22153)
2025-06-05T23:22:34.2494655Z Resolving deltas: 100% (22153/22153), completed with 317 local objects.
2025-06-05T23:22:34.2495107Z From https://github.com/nlohmann/json
2025-06-05T23:22:34.2495508Z  * branch              9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03 -> FETCH_HEAD
2025-06-05T23:22:34.2496249Z Submodule path 'thirdparty/json/nlohmann_json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-06-05T23:22:34.2497110Z Submodule path 'thirdparty/level_zero/level-zero': checked out 'c0c23ad24e06a6109550381f9997b0b74fba90d7'
2025-06-05T23:22:34.2497959Z Submodule path 'thirdparty/ocl/cl_headers': checked out '4ea6df132107e3b4b9407f903204b5522fdffcd6'
2025-06-05T23:22:34.2498902Z Submodule path 'thirdparty/ocl/clhpp_headers': checked out 'c7b4aded1cab9560b226041dd962f63375a9a384'
2025-06-05T23:22:34.2499848Z Submodule 'external/CMock' (https://github.com/ThrowTheSwitch/CMock) registered for path 'thirdparty/ocl/clhpp_headers/external/CMock'
2025-06-05T23:22:34.2500766Z Cloning into '/pytorch/executorch/openvino/thirdparty/ocl/clhpp_headers/external/CMock'...
2025-06-05T23:22:34.2501597Z Submodule path 'thirdparty/ocl/clhpp_headers/external/CMock': checked out '379a9a8d5dd5cdff8fd345710dd70ae26f966c71'
2025-06-05T23:22:34.2502752Z Submodule 'vendor/c_exception' (https://github.com/throwtheswitch/cexception.git) registered for path 'thirdparty/ocl/clhpp_headers/external/CMock/vendor/c_exception'
2025-06-05T23:22:34.2504055Z Submodule 'vendor/unity' (https://github.com/throwtheswitch/unity.git) registered for path 'thirdparty/ocl/clhpp_headers/external/CMock/vendor/unity'
2025-06-05T23:22:34.2505107Z Cloning into '/pytorch/executorch/openvino/thirdparty/ocl/clhpp_headers/external/CMock/vendor/c_exception'...
2025-06-05T23:22:34.2505995Z Cloning into '/pytorch/executorch/openvino/thirdparty/ocl/clhpp_headers/external/CMock/vendor/unity'...
2025-06-05T23:22:34.2506962Z Submodule path 'thirdparty/ocl/clhpp_headers/external/CMock/vendor/c_exception': checked out '71b47be7c950f1bf5f7e5303779fa99a16224bb6'
2025-06-05T23:22:34.2508037Z Submodule path 'thirdparty/ocl/clhpp_headers/external/CMock/vendor/unity': checked out '4389bab82ee8a4b4631a03be2e07dd5c67dab2d4'
2025-06-05T23:22:34.2508934Z Submodule path 'thirdparty/ocl/icd_loader': checked out '5907ac1114079de4383cecddf1c8640e3f52f92b'
2025-06-05T23:22:34.2509653Z Submodule path 'thirdparty/onnx/onnx': checked out 'b8baa8446686496da4cc8fda09f2b6fe65c2a02c'
2025-06-05T23:22:34.2510659Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'thirdparty/onnx/onnx/third_party/pybind11'
2025-06-05T23:22:34.2511565Z Cloning into '/pytorch/executorch/openvino/thirdparty/onnx/onnx/third_party/pybind11'...
2025-06-05T23:22:34.2512381Z Submodule path 'thirdparty/onnx/onnx/third_party/pybind11': checked out '3e9dfa2866941655c56877882565e7577de6fc7b'
2025-06-05T23:22:34.2513228Z Submodule path 'thirdparty/protobuf/protobuf': checked out 'f0dc78d7e6e331b8c6bb2d5283e06aa26883ca7c'
2025-06-05T23:22:34.2514225Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'thirdparty/protobuf/protobuf/third_party/benchmark'
2025-06-05T23:22:34.2515444Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'thirdparty/protobuf/protobuf/third_party/googletest'
2025-06-05T23:22:34.2516514Z Cloning into '/pytorch/executorch/openvino/thirdparty/protobuf/protobuf/third_party/benchmark'...
2025-06-05T23:22:34.2517347Z Cloning into '/pytorch/executorch/openvino/thirdparty/protobuf/protobuf/third_party/googletest'...
2025-06-05T23:22:39.6771826Z Submodule path 'thirdparty/protobuf/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-06-05T23:22:39.6773411Z Submodule path 'thirdparty/protobuf/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-06-05T23:22:39.6774743Z Submodule path 'thirdparty/pugixml': checked out 'ee86beb30e4973f5feffe3ce63bfa4fbadf72f38'
2025-06-05T23:22:39.6775888Z Submodule path 'thirdparty/snappy': checked out '2c94e11145f0b7b184b831577c93e5a41c4c0346'
2025-06-05T23:22:39.6777204Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'thirdparty/snappy/third_party/benchmark'
2025-06-05T23:22:39.6778888Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'thirdparty/snappy/third_party/googletest'
2025-06-05T23:22:39.6780238Z Cloning into '/pytorch/executorch/openvino/thirdparty/snappy/third_party/benchmark'...
2025-06-05T23:22:39.6781259Z Cloning into '/pytorch/executorch/openvino/thirdparty/snappy/third_party/googletest'...
2025-06-05T23:22:39.6782410Z Submodule path 'thirdparty/snappy/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-06-05T23:22:39.6783715Z Submodule path 'thirdparty/snappy/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-06-05T23:22:39.6784901Z Submodule path 'thirdparty/telemetry': checked out '8abddc3dbc8beb04a39b5ea40cbba5020317102f'
2025-06-05T23:22:39.6785958Z Submodule path 'thirdparty/xbyak': checked out '2ce465bbca46e92dde9c44bbe7940fd7f70e3b97'
2025-06-05T23:22:39.6786946Z Submodule path 'thirdparty/zlib/zlib': checked out '51b7f2abdade71cd9bb0e7a373ef2610ec6f9daf'
2025-06-05T23:22:39.6787700Z + sudo ./install_build_dependencies.sh
2025-06-05T23:22:39.6788355Z 
2025-06-05T23:22:39.6788712Z 0% [Working]
2025-06-05T23:22:39.6789018Z             
2025-06-05T23:22:39.6789386Z Hit:1 https://dl.yarnpkg.com/debian stable InRelease
2025-06-05T23:22:39.6789908Z 
2025-06-05T23:22:39.6790517Z 0% [Connecting to archive.ubuntu.com (185.125.190.83)] [Connecting to security.
2025-06-05T23:22:39.6791214Z                                                                                
2025-06-05T23:22:39.6791773Z Hit:2 https://deb.nodesource.com/node_16.x nodistro InRelease
2025-06-05T23:22:39.6792330Z 
2025-06-05T23:22:39.6792632Z                                                                                
2025-06-05T23:22:39.6803190Z 0% [Waiting for headers] [Waiting for headers]
2025-06-05T23:22:39.6803704Z                                               
2025-06-05T23:22:39.6804198Z Hit:3 http://archive.ubuntu.com/ubuntu jammy InRelease
2025-06-05T23:22:39.6804720Z 
2025-06-05T23:22:39.6805015Z                                               
2025-06-05T23:22:39.6805513Z 0% [Waiting for headers]
2025-06-05T23:22:39.6806247Z                         
2025-06-05T23:22:39.6806795Z Get:4 http://security.ubuntu.com/ubuntu jammy-security InRelease [129 kB]
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2025-06-05T23:22:39.6807968Z 0% [Waiting for headers] [4 InRelease 5484 B/129 kB 4%]
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2025-06-05T23:22:39.6809197Z                                                          
2025-06-05T23:22:39.6809810Z Get:5 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [128 kB]
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2025-06-05T23:22:39.6810967Z 0% [5 InRelease 14.2 kB/128 kB 11%] [4 InRelease 14.2 kB/129 kB 11%]
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2025-06-05T23:22:39.6813458Z                                                                     
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2025-06-05T23:22:39.6814939Z                                    
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2025-06-05T23:22:39.6816400Z                                               
2025-06-05T23:22:39.6817019Z Get:6 http://archive.ubuntu.com/ubuntu jammy-backports InRelease [127 kB]
2025-06-05T23:22:39.6817648Z 
2025-06-05T23:22:39.6818114Z 0% [6 InRelease 2588 B/127 kB 2%] [Waiting for headers]
2025-06-05T23:22:39.6818600Z                                                        
2025-06-05T23:22:39.6819277Z Get:7 http://security.ubuntu.com/ubuntu jammy-security/main amd64 Packages [2984 kB]
2025-06-05T23:22:39.6819979Z 
2025-06-05T23:22:39.6820507Z 0% [6 InRelease 11.3 kB/127 kB 9%] [7 Packages 2655 B/2984 kB 0%]
2025-06-05T23:22:39.6821096Z                                                                  
2025-06-05T23:22:39.6821628Z 0% [7 Packages 120 kB/2984 kB 4%]
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2025-06-05T23:22:39.6822759Z                                                         
2025-06-05T23:22:39.6823453Z Get:8 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 Packages [3295 kB]
2025-06-05T23:22:39.6824139Z 
2025-06-05T23:22:39.6824675Z 24% [8 Packages 2655 B/3295 kB 0%] [7 Packages 265 kB/2984 kB 9%]
2025-06-05T23:22:39.6825249Z                                                                  
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2025-06-05T23:22:39.6827182Z                                                                                
2025-06-05T23:22:39.6827903Z Get:9 http://security.ubuntu.com/ubuntu jammy-security/universe amd64 Packages [1246 kB]
2025-06-05T23:22:39.6829370Z 
2025-06-05T23:22:39.6830064Z 70% [7 Packages store 0 B] [8 Packages 2794 kB/3295 kB 85%] [9 Packages 32.1 kB
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2025-06-05T23:22:39.6831667Z                                                                                
2025-06-05T23:22:39.6832389Z Get:10 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 Packages [1553 kB]
2025-06-05T23:22:39.6833053Z 
2025-06-05T23:22:39.6833683Z 84% [7 Packages store 0 B] [10 Packages 34.5 kB/1553 kB 2%] [9 Packages 1116 kB
2025-06-05T23:22:39.6834346Z                                                                                
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2025-06-05T23:22:39.6835603Z                                                            
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2025-06-05T23:22:39.6837626Z                                                             
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2025-06-05T23:22:39.6838513Z                           
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2025-06-05T23:22:39.6839646Z                           
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2025-06-05T23:22:39.6841152Z                             
2025-06-05T23:22:39.6841625Z 100% [Working]
2025-06-05T23:22:39.6841990Z               
2025-06-05T23:22:39.6842278Z Fetched 9462 kB in 1s (7128 kB/s)
2025-06-05T23:22:39.6842551Z 
2025-06-05T23:22:39.6842686Z Reading package lists... 0%
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2025-06-05T23:22:39.6857796Z 
2025-06-05T23:22:39.6857935Z Reading package lists... Done
2025-06-05T23:22:39.6858181Z 
2025-06-05T23:22:39.6858187Z 
2025-06-05T23:22:39.6858342Z Building dependency tree... 0%
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2025-06-05T23:22:39.6859559Z Building dependency tree... 50%
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2025-06-05T23:22:39.6859973Z Building dependency tree... 50%
2025-06-05T23:22:39.6860219Z 
2025-06-05T23:22:39.6860379Z Building dependency tree... Done
2025-06-05T23:22:39.6860638Z 
2025-06-05T23:22:39.6860644Z 
2025-06-05T23:22:39.6860777Z Reading state information... 0% 
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2025-06-05T23:22:39.6861556Z 
2025-06-05T23:22:39.6861723Z Reading state information... Done
2025-06-05T23:22:39.6862005Z 
2025-06-05T23:22:39.6862137Z All packages are up to date.
2025-06-05T23:22:39.6863751Z W: https://dl.yarnpkg.com/debian/dists/stable/InRelease: Key is stored in legacy trusted.gpg keyring (/etc/apt/trusted.gpg), see the DEPRECATION section in apt-key(8) for details.
2025-06-05T23:22:39.6865069Z 
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2025-06-05T23:22:39.6878594Z Reading package lists... 99%
2025-06-05T23:22:39.6878837Z 
2025-06-05T23:22:39.6878987Z Reading package lists... 99%
2025-06-05T23:22:39.6879244Z 
2025-06-05T23:22:39.6879374Z Reading package lists... 99%
2025-06-05T23:22:39.6879628Z 
2025-06-05T23:22:39.6879758Z Reading package lists... 99%
2025-06-05T23:22:39.6880013Z 
2025-06-05T23:22:39.6880148Z Reading package lists... Done
2025-06-05T23:22:39.6880432Z 
2025-06-05T23:22:39.6880436Z 
2025-06-05T23:22:39.6880576Z Building dependency tree... 0%
2025-06-05T23:22:39.6880837Z 
2025-06-05T23:22:39.6880990Z Building dependency tree... 0%
2025-06-05T23:22:39.6881240Z 
2025-06-05T23:22:40.3464175Z Building dependency tree... 50%
2025-06-05T23:22:40.3464719Z 
2025-06-05T23:22:40.3464961Z Building dependency tree... 50%
2025-06-05T23:22:40.3465203Z 
2025-06-05T23:22:40.3465339Z Building dependency tree... Done
2025-06-05T23:22:40.3465592Z 
2025-06-05T23:22:40.3465598Z 
2025-06-05T23:22:40.3465729Z Reading state information... 0% 
2025-06-05T23:22:40.3465963Z 
2025-06-05T23:22:40.3466110Z Reading state information... 0%
2025-06-05T23:22:40.3466331Z 
2025-06-05T23:22:40.3466464Z Reading state information... Done
2025-06-05T23:22:40.3466712Z 
2025-06-05T23:22:40.3466964Z build-essential is already the newest version (12.9ubuntu3).
2025-06-05T23:22:40.3467603Z ca-certificates is already the newest version (20240203~22.04.1).
2025-06-05T23:22:40.3468207Z git is already the newest version (1:2.34.1-1ubuntu1.12).
2025-06-05T23:22:40.3468709Z gzip is already the newest version (1.10-4ubuntu4.1).
2025-06-05T23:22:40.3469245Z wget is already the newest version (1.21.2-2ubuntu1.1).
2025-06-05T23:22:40.3469941Z The following packages were automatically installed and are no longer required:
2025-06-05T23:22:40.3470585Z   libssh2-1 libstd-rust-1.75 libstd-rust-dev
2025-06-05T23:22:40.3471039Z Use 'sudo apt autoremove' to remove them.
2025-06-05T23:22:40.3471505Z The following additional packages will be installed:
2025-06-05T23:22:40.3472136Z   bsdextrautils cmake-data dh-elpa-helper dictionaries-common diffstat
2025-06-05T23:22:40.3472860Z   emacsen-common g++-11-multilib gcc-11-multilib gettext gettext-base
2025-06-05T23:22:40.3473554Z   groff-base hunspell-en-us intltool-debian lib32asan6 lib32atomic1
2025-06-05T23:22:40.3474235Z   lib32gcc-11-dev lib32gcc-s1 lib32gomp1 lib32itm1 lib32quadmath0
2025-06-05T23:22:40.3474976Z   lib32stdc++-11-dev lib32stdc++6 lib32ubsan1 libaliased-perl libapt-pkg-perl
2025-06-05T23:22:40.3475846Z   libarchive-zip-perl libarchive13 libaspell15 libb-hooks-endofscope-perl
2025-06-05T23:22:40.3476734Z   libb-hooks-op-check-perl libc6-dev-i386 libc6-dev-x32 libc6-i386 libc6-x32
2025-06-05T23:22:40.3477549Z   libcapture-tiny-perl libclass-data-inheritable-perl
2025-06-05T23:22:40.3478291Z   libclass-method-modifiers-perl libclass-xsaccessor-perl libclone-perl
2025-06-05T23:22:40.3479028Z   libconfig-tiny-perl libconst-fast-perl libcpanel-json-xs-perl
2025-06-05T23:22:40.3479731Z   libdata-dpath-perl libdata-messagepack-perl libdata-optlist-perl
2025-06-05T23:22:40.3480384Z   libdata-validate-domain-perl libdata-validate-ip-perl
2025-06-05T23:22:40.3481074Z   libdata-validate-uri-perl libdevel-callchecker-perl libdevel-size-perl
2025-06-05T23:22:40.3481761Z   libdevel-stacktrace-perl libdynaloader-functions-perl
2025-06-05T23:22:40.3482440Z   libemail-address-xs-perl libenchant-2-2 libexception-class-perl
2025-06-05T23:22:40.3483092Z   libexpat1-dev libexporter-tiny-perl libfile-basedir-perl
2025-06-05T23:22:40.3483700Z   libfile-find-rule-perl libfont-ttf-perl libhiredis0.14
2025-06-05T23:22:40.3484369Z   libhtml-html5-entities-perl libhunspell-1.7-0 libimport-into-perl
2025-06-05T23:22:40.3485179Z   libio-interactive-perl libio-prompt-tiny-perl libio-string-perl
2025-06-05T23:22:40.3486130Z   libipc-run3-perl libipc-system-simple-perl libiterator-perl
2025-06-05T23:22:40.3486937Z   libiterator-util-perl libjson-maybexs-perl libjsoncpp25 liblist-compare-perl
2025-06-05T23:22:40.3487949Z   liblist-moreutils-perl liblist-moreutils-xs-perl liblist-someutils-perl
2025-06-05T23:22:40.3488750Z   liblist-utilsby-perl liblzo2-2 libmagic-mgc libmagic1 libmarkdown2
2025-06-05T23:22:40.3489492Z   libmodule-implementation-perl libmodule-runtime-perl libmoo-perl
2025-06-05T23:22:40.3490193Z   libmoox-aliases-perl libmouse-perl libnamespace-clean-perl
2025-06-05T23:22:40.3490871Z   libnet-domain-tld-perl libnet-ipv6addr-perl libnet-netmask-perl
2025-06-05T23:22:40.3491578Z   libnetaddr-ip-perl libnumber-compare-perl libpackage-stash-perl
2025-06-05T23:22:40.3492403Z   libparams-classify-perl libparams-util-perl libpath-tiny-perl libpcre2-32-0
2025-06-05T23:22:40.3493569Z   libperlio-gzip-perl libperlio-utf8-strict-perl libpipeline1 libpkgconf3
2025-06-05T23:22:40.3494500Z   libproc-processtable-perl libpugixml1v5 libpython3-stdlib libpython3.10-dev
2025-06-05T23:22:40.3495445Z   librhash0 librole-tiny-perl libsereal-decoder-perl libsereal-encoder-perl
2025-06-05T23:22:40.3496369Z   libset-scalar-perl libsnappy1v5 libsort-versions-perl libstrictures-perl
2025-06-05T23:22:40.3497375Z   libsub-exporter-perl libsub-exporter-progressive-perl libsub-identify-perl
2025-06-05T23:22:40.3498230Z   libsub-install-perl libsub-name-perl libsub-quote-perl
2025-06-05T23:22:40.3499045Z   libsyntax-keyword-try-perl libtbb12 libtbbmalloc2 libterm-readkey-perl
2025-06-05T23:22:40.3499926Z   libtext-glob-perl libtext-iconv-perl libtext-levenshteinxs-perl
2025-06-05T23:22:40.3500751Z   libtext-markdown-discount-perl libtext-xslate-perl libtime-duration-perl
2025-06-05T23:22:40.3501606Z   libtime-moment-perl libtimedate-perl libtry-tiny-perl libuchardet0
2025-06-05T23:22:40.3502428Z   libunicode-utf8-perl liburi-perl libuv1 libva-drm2 libva-glx2 libva-wayland2
2025-06-05T23:22:40.3503555Z   libva-x11-2 libva2 libvariable-magic-perl libwayland-bin libwayland-client0
2025-06-05T23:22:40.3504715Z   libwayland-cursor0 libwayland-dev libwayland-egl1 libwayland-server0
2025-06-05T23:22:40.3505778Z   libx32asan6 libx32atomic1 libx32gcc-11-dev libx32gcc-s1 libx32gomp1
2025-06-05T23:22:40.3506862Z   libx32itm1 libx32quadmath0 libx32stdc++-11-dev libx32stdc++6 libx32ubsan1
2025-06-05T23:22:40.3507865Z   libxml-libxml-perl libxml-namespacesupport-perl libxml-sax-base-perl
2025-06-05T23:22:40.3508842Z   libxml-sax-perl libxs-parse-keyword-perl libyaml-0-2 libyaml-libyaml-perl
2025-06-05T23:22:40.3509802Z   lzip lzop man-db ocl-icd-libopencl1 opencl-c-headers opencl-clhpp-headers
2025-06-05T23:22:40.3510711Z   patchutils python3 python3-distutils python3-lib2to3 python3-minimal
2025-06-05T23:22:40.3511676Z   python3-pip-whl python3-pkg-resources python3-setuptools-whl python3-wheel
2025-06-05T23:22:40.3512503Z   python3.10 python3.10-minimal python3.10-venv t1utils
2025-06-05T23:22:40.3513097Z Suggested packages:
2025-06-05T23:22:40.3513660Z   distcc | icecc cmake-doc cmake-format ispell | aspell | hunspell wordlist
2025-06-05T23:22:40.3514510Z   lib32stdc++6-11-dbg libx32stdc++6-11-dbg gettext-doc autopoint
2025-06-05T23:22:40.3515392Z   libasprintf-dev libgettextpo-dev groff hunspell openoffice.org-hunspell
2025-06-05T23:22:40.3516346Z   | openoffice.org-core lrzip aspell libenchant-2-voikko libxml-parser-perl
2025-06-05T23:22:40.3517306Z   libscalar-number-perl libbareword-filehandles-perl libindirect-perl
2025-06-05T23:22:40.3518252Z   libmultidimensional-perl libtbb-doc libbusiness-isbn-perl libwww-perl
2025-06-05T23:22:40.3519215Z   libwayland-doc binutils-multiarch libtext-template-perl apparmor less
2025-06-05T23:22:40.3520152Z   www-browser opencl-icd opencl-clhpp-headers-doc pybind11-doc python3-doc
2025-06-05T23:22:40.3521143Z   python3-tk python-setuptools-doc python3.10-doc binfmt-support rapidjson-doc
2025-06-05T23:22:40.3521895Z Recommended packages:
2025-06-05T23:22:40.3522574Z   aspell-en | aspell-dictionary | aspell6a-dictionary enchant-2
2025-06-05T23:22:40.3523385Z   liblist-someutils-xs-perl libmath-base85-perl libsocket6-perl
2025-06-05T23:22:40.3524208Z   libpackage-stash-xs-perl va-driver-all | va-driver libwww-perl
2025-06-05T23:22:40.3525120Z   libxml-sax-expat-perl libgl1-mesa-dev | libgl-dev libeigen3-dev python3-dev
2025-06-05T23:22:40.3525907Z The following NEW packages will be installed:
2025-06-05T23:22:40.3526665Z   bsdextrautils ccache cmake cmake-data dh-elpa-helper dictionaries-common
2025-06-05T23:22:40.3527554Z   diffstat emacsen-common fdupes file g++-11-multilib g++-multilib
2025-06-05T23:22:40.3528432Z   gcc-11-multilib gcc-multilib gettext gettext-base groff-base hunspell-en-us
2025-06-05T23:22:40.3529553Z   intltool-debian lib32asan6 lib32atomic1 lib32gcc-11-dev lib32gcc-s1
2025-06-05T23:22:40.3530406Z   lib32gomp1 lib32itm1 lib32quadmath0 lib32stdc++-11-dev lib32stdc++6
2025-06-05T23:22:40.3531534Z   lib32ubsan1 libaliased-perl libapt-pkg-perl libarchive-zip-perl libarchive13
2025-06-05T23:22:40.3532503Z   libaspell15 libb-hooks-endofscope-perl libb-hooks-op-check-perl
2025-06-05T23:22:40.3533467Z   libc6-dev-i386 libc6-dev-x32 libc6-i386 libc6-x32 libcapture-tiny-perl
2025-06-05T23:22:40.3534348Z   libclass-data-inheritable-perl libclass-method-modifiers-perl
2025-06-05T23:22:40.3535169Z   libclass-xsaccessor-perl libclone-perl libconfig-tiny-perl
2025-06-05T23:22:40.3535979Z   libconst-fast-perl libcpanel-json-xs-perl libdata-dpath-perl
2025-06-05T23:22:40.3536896Z   libdata-messagepack-perl libdata-optlist-perl libdata-validate-domain-perl
2025-06-05T23:22:40.3537960Z   libdata-validate-ip-perl libdata-validate-uri-perl libdevel-callchecker-perl
2025-06-05T23:22:40.3538980Z   libdevel-size-perl libdevel-stacktrace-perl libdynaloader-functions-perl
2025-06-05T23:22:40.3539917Z   libemail-address-xs-perl libenchant-2-2 libexception-class-perl
2025-06-05T23:22:40.3540813Z   libexpat1-dev libexporter-tiny-perl libffi-dev libfile-basedir-perl
2025-06-05T23:22:40.3541642Z   libfile-find-rule-perl libfont-ttf-perl libhiredis0.14
2025-06-05T23:22:40.3542448Z   libhtml-html5-entities-perl libhunspell-1.7-0 libimport-into-perl
2025-06-05T23:22:40.3543311Z   libio-interactive-perl libio-prompt-tiny-perl libio-string-perl
2025-06-05T23:22:40.3544148Z   libipc-run3-perl libipc-system-simple-perl libiterator-perl
2025-06-05T23:22:40.3545054Z   libiterator-util-perl libjson-maybexs-perl libjsoncpp25 liblist-compare-perl
2025-06-05T23:22:40.3546078Z   liblist-moreutils-perl liblist-moreutils-xs-perl liblist-someutils-perl
2025-06-05T23:22:40.3547010Z   liblist-utilsby-perl liblzo2-2 libmagic-mgc libmagic1 libmarkdown2
2025-06-05T23:22:40.3547892Z   libmodule-implementation-perl libmodule-runtime-perl libmoo-perl
2025-06-05T23:22:40.3548743Z   libmoox-aliases-perl libmouse-perl libnamespace-clean-perl
2025-06-05T23:22:40.3549549Z   libnet-domain-tld-perl libnet-ipv6addr-perl libnet-netmask-perl
2025-06-05T23:22:40.3550416Z   libnetaddr-ip-perl libnumber-compare-perl libpackage-stash-perl
2025-06-05T23:22:40.3551356Z   libparams-classify-perl libparams-util-perl libpath-tiny-perl libpcre2-32-0
2025-06-05T23:22:40.3552363Z   libperlio-gzip-perl libperlio-utf8-strict-perl libpipeline1 libpkgconf3
2025-06-05T23:22:40.3553329Z   libproc-processtable-perl libpugixml-dev libpugixml1v5 libpython3-dev
2025-06-05T23:22:40.3554199Z   libpython3-stdlib libpython3.10-dev librhash0 librole-tiny-perl
2025-06-05T23:22:40.3555051Z   libsereal-decoder-perl libsereal-encoder-perl libset-scalar-perl
2025-06-05T23:22:40.3555914Z   libsnappy-dev libsnappy1v5 libsort-versions-perl libstrictures-perl
2025-06-05T23:22:40.3556885Z   libsub-exporter-perl libsub-exporter-progressive-perl libsub-identify-perl
2025-06-05T23:22:40.3557750Z   libsub-install-perl libsub-name-perl libsub-quote-perl
2025-06-05T23:22:40.3558498Z   libsyntax-keyword-try-perl libtbb-dev libtbb12 libtbbmalloc2
2025-06-05T23:22:40.3559249Z   libterm-readkey-perl libtext-glob-perl libtext-iconv-perl
2025-06-05T23:22:40.3559970Z   libtext-levenshteinxs-perl libtext-markdown-discount-perl
2025-06-05T23:22:40.3560936Z   libtext-xslate-perl libtime-duration-perl libtime-moment-perl
2025-06-05T23:22:40.3561703Z   libtimedate-perl libtry-tiny-perl libuchardet0 libunicode-utf8-perl
2025-06-05T23:22:40.3562632Z   liburi-perl libuv1 libva-dev libva-drm2 libva-glx2 libva-wayland2
2025-06-05T23:22:40.3563631Z   libva-x11-2 libva2 libvariable-magic-perl libwayland-bin libwayland-client0
2025-06-05T23:22:40.3564703Z   libwayland-cursor0 libwayland-dev libwayland-egl1 libwayland-server0
2025-06-05T23:22:40.3565694Z   libx32asan6 libx32atomic1 libx32gcc-11-dev libx32gcc-s1 libx32gomp1
2025-06-05T23:22:40.6799660Z   libx32itm1 libx32quadmath0 libx32stdc++-11-dev libx32stdc++6 libx32ubsan1
2025-06-05T23:22:40.6800611Z   libxml-libxml-perl libxml-namespacesupport-perl libxml-sax-base-perl
2025-06-05T23:22:40.6801599Z   libxml-sax-perl libxs-parse-keyword-perl libyaml-0-2 libyaml-libyaml-perl
2025-06-05T23:22:40.6802740Z   lintian lzip lzop man-db ninja-build ocl-icd-libopencl1 ocl-icd-opencl-dev
2025-06-05T23:22:40.6803438Z   opencl-c-headers opencl-clhpp-headers opencl-headers patchelf patchutils
2025-06-05T23:22:40.6804008Z   pkgconf pybind11-dev python3 python3-distutils python3-enchant
2025-06-05T23:22:40.6804505Z   python3-lib2to3 python3-minimal python3-pip python3-pip-whl
2025-06-05T23:22:40.6805055Z   python3-pkg-resources python3-setuptools python3-setuptools-whl python3-venv
2025-06-05T23:22:40.6805671Z   python3-wheel python3.10 python3.10-minimal python3.10-venv rapidjson-dev
2025-06-05T23:22:40.6806124Z   scons shellcheck t1utils
2025-06-05T23:22:40.6806565Z 0 upgraded, 211 newly installed, 0 to remove and 0 not upgraded.
2025-06-05T23:22:40.6807139Z Need to get 58.5 MB of archives.
2025-06-05T23:22:40.6807506Z After this operation, 251 MB of additional disk space will be used.
2025-06-05T23:22:40.6807812Z 
2025-06-05T23:22:40.6807903Z 0% [Working]
2025-06-05T23:22:40.6808092Z             
2025-06-05T23:22:40.6808631Z Get:1 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 python3.10-minimal amd64 3.10.12-1~22.04.9 [2263 kB]
2025-06-05T23:22:40.6809271Z 
2025-06-05T23:22:40.6809489Z 0% [1 python3.10-minimal 0 B/2263 kB 0%]
2025-06-05T23:22:40.6809798Z                                         
2025-06-05T23:22:40.6810061Z 3% [Working]
2025-06-05T23:22:40.6810264Z             
2025-06-05T23:22:40.6810746Z Get:2 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 python3-minimal amd64 3.10.6-1~22.04.1 [24.3 kB]
2025-06-05T23:22:40.6811243Z 
2025-06-05T23:22:40.6811349Z 3% [2 python3-minimal 15.6 kB/24.3 kB 64%]
2025-06-05T23:22:40.6811636Z                                           
2025-06-05T23:22:40.6811910Z 3% [Working]
2025-06-05T23:22:40.6812094Z             
2025-06-05T23:22:40.6812559Z Get:3 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 python3.10 amd64 3.10.12-1~22.04.9 [508 kB]
2025-06-05T23:22:40.6813180Z 
2025-06-05T23:22:40.6813295Z 3% [3 python3.10 56.6 kB/508 kB 11%]
2025-06-05T23:22:40.6813628Z                                     
2025-06-05T23:22:40.6813983Z 4% [Waiting for headers]
2025-06-05T23:22:40.6814210Z                         
2025-06-05T23:22:40.6814738Z Get:4 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libpython3-stdlib amd64 3.10.6-1~22.04.1 [6812 B]
2025-06-05T23:22:40.6815228Z 
2025-06-05T23:22:40.6815337Z 4% [4 libpython3-stdlib 6812 B/6812 B 100%]
2025-06-05T23:22:40.6815705Z                                            
2025-06-05T23:22:40.6816037Z 4% [Working]
2025-06-05T23:22:40.6816223Z             
2025-06-05T23:22:40.6816679Z Get:5 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 python3 amd64 3.10.6-1~22.04.1 [22.8 kB]
2025-06-05T23:22:40.6817126Z 
2025-06-05T23:22:40.6817221Z 4% [5 python3 14.2 kB/22.8 kB 62%]
2025-06-05T23:22:40.6817490Z                                   
2025-06-05T23:22:40.6817732Z 4% [Working]
2025-06-05T23:22:40.6817929Z             
2025-06-05T23:22:40.6818441Z Get:6 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtext-iconv-perl amd64 1.7-7build3 [14.3 kB]
2025-06-05T23:22:40.6819082Z 
2025-06-05T23:22:40.6819198Z 4% [6 libtext-iconv-perl 14.3 kB/14.3 kB 100%]
2025-06-05T23:22:40.6819518Z                                               
2025-06-05T23:22:40.6819784Z 4% [Working]
2025-06-05T23:22:40.6819984Z             
2025-06-05T23:22:40.6820415Z Get:7 http://archive.ubuntu.com/ubuntu jammy/main amd64 libyaml-0-2 amd64 0.2.2-1build2 [51.6 kB]
2025-06-05T23:22:40.6820953Z 
2025-06-05T23:22:40.6821050Z 5% [7 libyaml-0-2 42.1 kB/51.6 kB 82%]
2025-06-05T23:22:40.6821322Z                                       
2025-06-05T23:22:40.6821588Z 5% [Working]
2025-06-05T23:22:40.6821788Z             
2025-06-05T23:22:40.6822323Z Get:8 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 python3-pkg-resources all 59.6.0-1.2ubuntu0.22.04.3 [133 kB]
2025-06-05T23:22:40.6822867Z 
2025-06-05T23:22:40.6823021Z 5% [8 python3-pkg-resources 55.7 kB/133 kB 42%]
2025-06-05T23:22:40.6823468Z                                                
2025-06-05T23:22:40.6823835Z 5% [Working]
2025-06-05T23:22:40.6824021Z             
2025-06-05T23:22:40.6824517Z Get:9 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 bsdextrautils amd64 2.37.2-4ubuntu3.4 [71.4 kB]
2025-06-05T23:22:40.6824999Z 
2025-06-05T23:22:40.6825112Z 5% [9 bsdextrautils 53.8 kB/71.4 kB 75%]
2025-06-05T23:22:40.6825398Z                                         
2025-06-05T23:22:40.6825710Z 5% [Working]
2025-06-05T23:22:40.6826001Z             
2025-06-05T23:22:40.6826491Z Get:10 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libmagic-mgc amd64 1:5.41-3ubuntu0.1 [257 kB]
2025-06-05T23:22:40.6826965Z 
2025-06-05T23:22:40.6827065Z 5% [10 libmagic-mgc 47.6 kB/257 kB 19%]
2025-06-05T23:22:40.6827355Z                                        
2025-06-05T23:22:40.6827611Z 6% [Working]
2025-06-05T23:22:40.6827808Z             
2025-06-05T23:22:40.6828332Z Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libmagic1 amd64 1:5.41-3ubuntu0.1 [87.2 kB]
2025-06-05T23:22:40.6829050Z 
2025-06-05T23:22:40.6829166Z 6% [11 libmagic1 14.2 kB/87.2 kB 16%]
2025-06-05T23:22:40.6829461Z                                      
2025-06-05T23:22:40.6829716Z 6% [Working]
2025-06-05T23:22:40.6829914Z             
2025-06-05T23:22:40.6830357Z Get:12 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 file amd64 1:5.41-3ubuntu0.1 [21.5 kB]
2025-06-05T23:22:40.6830812Z 
2025-06-05T23:22:40.6830901Z 6% [12 file 6950 B/21.5 kB 32%]
2025-06-05T23:22:40.6831156Z                                
2025-06-05T23:22:40.6831384Z 6% [Working]
2025-06-05T23:22:40.6831582Z             
2025-06-05T23:22:40.6832000Z Get:13 http://archive.ubuntu.com/ubuntu jammy/main amd64 gettext-base amd64 0.21-4ubuntu4 [37.8 kB]
2025-06-05T23:22:40.6832437Z 
2025-06-05T23:22:40.6832538Z 6% [13 gettext-base 37.8 kB/37.8 kB 100%]
2025-06-05T23:22:40.6832821Z                                          
2025-06-05T23:22:40.6833095Z 6% [Working]
2025-06-05T23:22:40.6833277Z             
2025-06-05T23:22:40.6833711Z Get:14 http://archive.ubuntu.com/ubuntu jammy/main amd64 libuchardet0 amd64 0.0.7-1build2 [76.9 kB]
2025-06-05T23:22:40.6834137Z 
2025-06-05T23:22:40.6834248Z 6% [14 libuchardet0 35.7 kB/76.9 kB 46%]
2025-06-05T23:22:40.6834528Z                                         
2025-06-05T23:22:40.6834801Z 6% [Working]
2025-06-05T23:22:40.6834988Z             
2025-06-05T23:22:40.6835413Z Get:15 http://archive.ubuntu.com/ubuntu jammy/main amd64 groff-base amd64 1.22.4-8build1 [955 kB]
2025-06-05T23:22:40.6835831Z 
2025-06-05T23:22:40.6835926Z 6% [15 groff-base 24.1 kB/955 kB 3%]
2025-06-05T23:22:40.6836206Z                                     
2025-06-05T23:22:40.6836479Z 8% [Waiting for headers]
2025-06-05T23:22:40.6836705Z                         
2025-06-05T23:22:40.6837145Z Get:16 http://archive.ubuntu.com/ubuntu jammy/main amd64 libpipeline1 amd64 1.5.5-1 [23.5 kB]
2025-06-05T23:22:40.6837549Z 
2025-06-05T23:22:40.6837648Z 8% [16 libpipeline1 16.1 kB/23.5 kB 69%]
2025-06-05T23:22:40.6837945Z                                         
2025-06-05T23:22:40.6838355Z 8% [Working]
2025-06-05T23:22:40.6838554Z             
2025-06-05T23:22:40.6839002Z Get:17 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libuv1 amd64 1.43.0-1ubuntu0.1 [92.7 kB]
2025-06-05T23:22:40.6839470Z 
2025-06-05T23:22:40.6839562Z 8% [17 libuv1 28.4 kB/92.7 kB 31%]
2025-06-05T23:22:40.6839835Z                                   
2025-06-05T23:22:40.6840082Z 8% [Working]
2025-06-05T23:22:40.6840284Z             
2025-06-05T23:22:40.6840655Z Get:18 http://archive.ubuntu.com/ubuntu jammy/main amd64 man-db amd64 2.10.2-1 [1187 kB]
2025-06-05T23:22:40.6841045Z 
2025-06-05T23:22:40.6841135Z 8% [18 man-db 30.4 kB/1187 kB 3%]
2025-06-05T23:22:40.6841389Z                                  
2025-06-05T23:22:40.6841641Z 10% [Working]
2025-06-05T23:22:40.6841829Z              
2025-06-05T23:22:40.6842282Z Get:19 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libhiredis0.14 amd64 0.14.1-2 [32.8 kB]
2025-06-05T23:22:40.6842712Z 
2025-06-05T23:22:40.6842910Z 10% [19 libhiredis0.14 22.9 kB/32.8 kB 70%]
2025-06-05T23:22:40.6843203Z                                            
2025-06-05T23:22:40.6843483Z 10% [Working]
2025-06-05T23:22:40.6843674Z              
2025-06-05T23:22:40.6844073Z Get:20 http://archive.ubuntu.com/ubuntu jammy/universe amd64 ccache amd64 4.5.1-1 [495 kB]
2025-06-05T23:22:40.6844464Z 
2025-06-05T23:22:40.6844568Z 10% [20 ccache 25.8 kB/495 kB 5%]
2025-06-05T23:22:40.6844822Z                                  
2025-06-05T23:22:40.6845077Z 11% [Working]
2025-06-05T23:22:40.6845265Z              
2025-06-05T23:22:40.6845748Z Get:21 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libarchive13 amd64 3.6.0-1ubuntu1.4 [368 kB]
2025-06-05T23:22:40.6846218Z 
2025-06-05T23:22:40.6846317Z 11% [21 libarchive13 18.9 kB/368 kB 5%]
2025-06-05T23:22:40.6846612Z                                        
2025-06-05T23:22:40.6846869Z 11% [Working]
2025-06-05T23:22:40.6847070Z              
2025-06-05T23:22:40.6847473Z Get:22 http://archive.ubuntu.com/ubuntu jammy/main amd64 libjsoncpp25 amd64 1.9.5-3 [80.0 kB]
2025-06-05T23:22:40.6847896Z 
2025-06-05T23:22:40.6847996Z 11% [22 libjsoncpp25 13.8 kB/80.0 kB 17%]
2025-06-05T23:22:40.6848297Z                                          
2025-06-05T23:22:40.6848562Z 11% [Working]
2025-06-05T23:22:40.6848760Z              
2025-06-05T23:22:40.6849163Z Get:23 http://archive.ubuntu.com/ubuntu jammy/main amd64 librhash0 amd64 1.4.2-1ubuntu1 [125 kB]
2025-06-05T23:22:40.6849586Z 
2025-06-05T23:22:40.6849681Z 11% [23 librhash0 28.7 kB/125 kB 23%]
2025-06-05T23:22:40.6849949Z                                      
2025-06-05T23:22:40.6850213Z 12% [Working]
2025-06-05T23:22:40.6850414Z              
2025-06-05T23:22:40.6850825Z Get:24 http://archive.ubuntu.com/ubuntu jammy/main amd64 dh-elpa-helper all 2.0.9ubuntu1 [7610 B]
2025-06-05T23:22:40.6851243Z 
2025-06-05T23:22:40.6851357Z 12% [24 dh-elpa-helper 7610 B/7610 B 100%]
2025-06-05T23:22:40.6851641Z                                           
2025-06-05T23:22:40.6851960Z 12% [Working]
2025-06-05T23:22:40.6852161Z              
2025-06-05T23:22:40.6852564Z Get:25 http://archive.ubuntu.com/ubuntu jammy/main amd64 emacsen-common all 3.0.4 [14.9 kB]
2025-06-05T23:22:40.6853040Z 
2025-06-05T23:22:40.6853168Z 12% [25 emacsen-common 14.9 kB/14.9 kB 100%]
2025-06-05T23:22:40.6853463Z                                             
2025-06-05T23:22:40.6853741Z 12% [Working]
2025-06-05T23:22:40.6853924Z              
2025-06-05T23:22:40.6854419Z Get:26 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 cmake-data all 3.22.1-1ubuntu1.22.04.2 [1913 kB]
2025-06-05T23:22:40.6854903Z 
2025-06-05T23:22:40.6855000Z 12% [26 cmake-data 47.8 kB/1913 kB 2%]
2025-06-05T23:22:40.6855287Z                                       
2025-06-05T23:22:40.6855555Z 15% [Waiting for headers]
2025-06-05T23:22:40.6855795Z                          
2025-06-05T23:22:40.6856303Z Get:27 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 cmake amd64 3.22.1-1ubuntu1.22.04.2 [5010 kB]
2025-06-05T23:22:40.6856770Z 
2025-06-05T23:22:40.6856941Z 15% [27 cmake 35.2 kB/5010 kB 1%]
2025-06-05T23:22:40.6857209Z                                  
2025-06-05T23:22:40.6857449Z 22% [Working]
2025-06-05T23:22:40.6857649Z              
2025-06-05T23:22:40.6858066Z Get:28 http://archive.ubuntu.com/ubuntu jammy/main amd64 dictionaries-common all 1.28.14 [185 kB]
2025-06-05T23:22:40.6858500Z 
2025-06-05T23:22:40.6858621Z 22% [28 dictionaries-common 23.1 kB/185 kB 12%]
2025-06-05T23:22:40.6858946Z                                                
2025-06-05T23:22:40.6859220Z 22% [Working]
2025-06-05T23:22:40.6859420Z              
2025-06-05T23:22:40.6859815Z Get:29 http://archive.ubuntu.com/ubuntu jammy/main amd64 diffstat amd64 1.64-1build2 [29.2 kB]
2025-06-05T23:22:40.6860230Z 
2025-06-05T23:22:40.6860322Z 22% [29 diffstat 16.9 kB/29.2 kB 58%]
2025-06-05T23:22:40.6860589Z                                      
2025-06-05T23:22:40.6860851Z 22% [Working]
2025-06-05T23:22:40.6861035Z              
2025-06-05T23:22:40.6861576Z Get:30 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libpcre2-32-0 amd64 10.39-3ubuntu0.1 [194 kB]
2025-06-05T23:22:40.6862053Z 
2025-06-05T23:22:40.6862165Z 22% [30 libpcre2-32-0 52.9 kB/194 kB 27%]
2025-06-05T23:22:40.6862446Z                                          
2025-06-05T23:22:40.6862718Z 22% [Working]
2025-06-05T23:22:40.6862904Z              
2025-06-05T23:22:40.6863334Z Get:31 http://archive.ubuntu.com/ubuntu jammy/universe amd64 fdupes amd64 1:2.1.2-1build1 [38.5 kB]
2025-06-05T23:22:40.6863761Z 
2025-06-05T23:22:40.6863852Z 22% [31 fdupes 4096 B/38.5 kB 11%]
2025-06-05T23:22:40.6864126Z                                   
2025-06-05T23:22:40.6864384Z 23% [Working]
2025-06-05T23:22:40.6864567Z              
2025-06-05T23:22:40.6865038Z Get:32 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libc6-i386 amd64 2.35-0ubuntu3.10 [2837 kB]
2025-06-05T23:22:40.6865503Z 
2025-06-05T23:22:40.6865599Z 23% [32 libc6-i386 16.6 kB/2837 kB 1%]
2025-06-05T23:22:40.6865884Z                                       
2025-06-05T23:22:40.6866145Z 27% [Working]
2025-06-05T23:22:40.6866342Z              
2025-06-05T23:22:40.6866817Z Get:33 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libc6-dev-i386 amd64 2.35-0ubuntu3.10 [1445 kB]
2025-06-05T23:22:40.6867310Z 
2025-06-05T23:22:40.6867409Z 27% [33 libc6-dev-i386 9364 B/1445 kB 1%]
2025-06-05T23:22:40.6867702Z                                          
2025-06-05T23:22:40.6867974Z 29% [Waiting for headers]
2025-06-05T23:22:40.6868216Z                          
2025-06-05T23:22:40.6868701Z Get:34 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libc6-x32 amd64 2.35-0ubuntu3.10 [2978 kB]
2025-06-05T23:22:40.6869169Z 
2025-06-05T23:22:40.6869260Z 29% [34 libc6-x32 8192 B/2978 kB 0%]
2025-06-05T23:22:40.6869520Z                                     
2025-06-05T23:22:40.6869778Z 33% [Working]
2025-06-05T23:22:40.6869975Z              
2025-06-05T23:22:40.8293690Z Get:35 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libc6-dev-x32 amd64 2.35-0ubuntu3.10 [1632 kB]
2025-06-05T23:22:40.8294639Z 
2025-06-05T23:22:40.8294807Z 33% [35 libc6-dev-x32 30.0 kB/1632 kB 2%]
2025-06-05T23:22:40.8295239Z                                          
2025-06-05T23:22:40.8295627Z 35% [Working]
2025-06-05T23:22:40.8295832Z              
2025-06-05T23:22:40.8296500Z Get:36 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 lib32gcc-s1 amd64 12.3.0-1ubuntu1~22.04 [63.9 kB]
2025-06-05T23:22:40.8297004Z 
2025-06-05T23:22:40.8297105Z 35% [36 lib32gcc-s1 36.1 kB/63.9 kB 57%]
2025-06-05T23:22:40.8297508Z                                         
2025-06-05T23:22:40.8297815Z 35% [Working]
2025-06-05T23:22:40.8298017Z              
2025-06-05T23:22:40.8298702Z Get:37 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libx32gcc-s1 amd64 12.3.0-1ubuntu1~22.04 [54.0 kB]
2025-06-05T23:22:40.8299209Z 
2025-06-05T23:22:40.8299309Z 35% [37 libx32gcc-s1 37.5 kB/54.0 kB 69%]
2025-06-05T23:22:40.8299587Z                                          
2025-06-05T23:22:40.8299896Z 35% [Working]
2025-06-05T23:22:40.8300346Z              
2025-06-05T23:22:40.8300881Z Get:38 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 lib32gomp1 amd64 12.3.0-1ubuntu1~22.04 [133 kB]
2025-06-05T23:22:40.8301362Z 
2025-06-05T23:22:40.8301470Z 35% [38 lib32gomp1 48.7 kB/133 kB 36%]
2025-06-05T23:22:40.8301742Z                                       
2025-06-05T23:22:40.8302008Z 36% [Working]
2025-06-05T23:22:40.8302196Z              
2025-06-05T23:22:40.8302735Z Get:39 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libx32gomp1 amd64 12.3.0-1ubuntu1~22.04 [127 kB]
2025-06-05T23:22:40.8303229Z 
2025-06-05T23:22:40.8303327Z 36% [39 libx32gomp1 46.0 kB/127 kB 36%]
2025-06-05T23:22:40.8303615Z                                        
2025-06-05T23:22:40.8303871Z 36% [Working]
2025-06-05T23:22:40.8304069Z              
2025-06-05T23:22:40.8304540Z Get:40 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 lib32itm1 amd64 12.3.0-1ubuntu1~22.04 [32.0 kB]
2025-06-05T23:22:40.8305026Z 
2025-06-05T23:22:40.8305276Z 36% [40 lib32itm1 32.0 kB/32.0 kB 100%]
2025-06-05T23:22:40.8305551Z                                        
2025-06-05T23:22:40.8305816Z 36% [Working]
2025-06-05T23:22:40.8306003Z              
2025-06-05T23:22:40.8306494Z Get:41 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libx32itm1 amd64 12.3.0-1ubuntu1~22.04 [30.2 kB]
2025-06-05T23:22:40.8306974Z 
2025-06-05T23:22:40.8307083Z 36% [41 libx32itm1 17.5 kB/30.2 kB 58%]
2025-06-05T23:22:40.8307354Z                                        
2025-06-05T23:22:40.8307622Z 36% [Working]
2025-06-05T23:22:40.8307808Z              
2025-06-05T23:22:40.8308304Z Get:42 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 lib32atomic1 amd64 12.3.0-1ubuntu1~22.04 [8500 B]
2025-06-05T23:22:40.8308793Z 
2025-06-05T23:22:40.8308891Z 36% [42 lib32atomic1 8500 B/8500 B 100%]
2025-06-05T23:22:40.8309186Z                                         
2025-06-05T23:22:40.8309456Z 36% [Working]
2025-06-05T23:22:40.8309641Z              
2025-06-05T23:22:40.8310144Z Get:43 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libx32atomic1 amd64 12.3.0-1ubuntu1~22.04 [10.2 kB]
2025-06-05T23:22:40.8310642Z 
2025-06-05T23:22:40.8310744Z 36% [43 libx32atomic1 10.2 kB/10.2 kB 100%]
2025-06-05T23:22:40.8311039Z                                            
2025-06-05T23:22:40.8311298Z 36% [Working]
2025-06-05T23:22:40.8311495Z              
2025-06-05T23:22:40.8311971Z Get:44 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 lib32asan6 amd64 11.4.0-1ubuntu1~22.04 [2154 kB]
2025-06-05T23:22:40.8312462Z 
2025-06-05T23:22:40.8312556Z 36% [44 lib32asan6 15.6 kB/2154 kB 1%]
2025-06-05T23:22:40.8312837Z                                       
2025-06-05T23:22:40.8313102Z 39% [Waiting for headers]
2025-06-05T23:22:40.8313344Z                          
2025-06-05T23:22:40.8313852Z Get:45 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libx32asan6 amd64 11.4.0-1ubuntu1~22.04 [2128 kB]
2025-06-05T23:22:40.8314346Z 
2025-06-05T23:22:40.8314445Z 40% [45 libx32asan6 24.3 kB/2128 kB 1%]
2025-06-05T23:22:40.8314722Z                                        
2025-06-05T23:22:40.8314987Z 43% [Working]
2025-06-05T23:22:40.8315188Z              
2025-06-05T23:22:40.8315665Z Get:46 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 lib32stdc++6 amd64 12.3.0-1ubuntu1~22.04 [740 kB]
2025-06-05T23:22:40.8316146Z 
2025-06-05T23:22:40.8316255Z 43% [46 lib32stdc++6 10.7 kB/740 kB 1%]
2025-06-05T23:22:40.8316525Z                                        
2025-06-05T23:22:40.8316790Z 44% [Working]
2025-06-05T23:22:40.8316974Z              
2025-06-05T23:22:40.8317457Z Get:47 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 lib32ubsan1 amd64 12.3.0-1ubuntu1~22.04 [959 kB]
2025-06-05T23:22:40.8317934Z 
2025-06-05T23:22:40.8318039Z 44% [47 lib32ubsan1 39.4 kB/959 kB 4%]
2025-06-05T23:22:40.8318311Z                                       
2025-06-05T23:22:40.8318573Z 45% [Working]
2025-06-05T23:22:40.8318757Z              
2025-06-05T23:22:40.8319254Z Get:48 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libx32stdc++6 amd64 12.3.0-1ubuntu1~22.04 [682 kB]
2025-06-05T23:22:40.8319830Z 
2025-06-05T23:22:40.8319927Z 45% [48 libx32stdc++6 15.3 kB/682 kB 2%]
2025-06-05T23:22:40.8320221Z                                         
2025-06-05T23:22:40.8320477Z 46% [Working]
2025-06-05T23:22:40.8320686Z              
2025-06-05T23:22:40.8321180Z Get:49 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libx32ubsan1 amd64 12.3.0-1ubuntu1~22.04 [963 kB]
2025-06-05T23:22:40.8321666Z 
2025-06-05T23:22:40.8321763Z 46% [49 libx32ubsan1 36.7 kB/963 kB 4%]
2025-06-05T23:22:40.8322052Z                                        
2025-06-05T23:22:40.8322308Z 47% [Working]
2025-06-05T23:22:40.8322506Z              
2025-06-05T23:22:40.8322997Z Get:50 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 lib32quadmath0 amd64 12.3.0-1ubuntu1~22.04 [244 kB]
2025-06-05T23:22:40.8323503Z 
2025-06-05T23:22:40.8323604Z 47% [50 lib32quadmath0 16.4 kB/244 kB 7%]
2025-06-05T23:22:40.8323968Z                                          
2025-06-05T23:22:40.8324236Z 48% [Working]
2025-06-05T23:22:40.8324438Z              
2025-06-05T23:22:40.8324934Z Get:51 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libx32quadmath0 amd64 12.3.0-1ubuntu1~22.04 [156 kB]
2025-06-05T23:22:40.8325444Z 
2025-06-05T23:22:40.8325543Z 48% [51 libx32quadmath0 8106 B/156 kB 5%]
2025-06-05T23:22:40.8325826Z                                          
2025-06-05T23:22:40.8326096Z 48% [Working]
2025-06-05T23:22:40.8326284Z              
2025-06-05T23:22:40.8326793Z Get:52 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 lib32gcc-11-dev amd64 11.4.0-1ubuntu1~22.04 [2339 kB]
2025-06-05T23:22:40.8327294Z 
2025-06-05T23:22:40.8327410Z 48% [52 lib32gcc-11-dev 48.3 kB/2339 kB 2%]
2025-06-05T23:22:40.8327698Z                                            
2025-06-05T23:22:40.8327971Z 51% [Working]
2025-06-05T23:22:40.8328157Z              
2025-06-05T23:22:40.8328900Z Get:53 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libx32gcc-11-dev amd64 11.4.0-1ubuntu1~22.04 [2107 kB]
2025-06-05T23:22:40.8329421Z 
2025-06-05T23:22:40.8329531Z 52% [53 libx32gcc-11-dev 20.4 kB/2107 kB 1%]
2025-06-05T23:22:40.8329841Z                                             
2025-06-05T23:22:40.8330120Z 54% [Working]
2025-06-05T23:22:40.8330305Z              
2025-06-05T23:22:40.8330803Z Get:54 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 gcc-11-multilib amd64 11.4.0-1ubuntu1~22.04 [876 B]
2025-06-05T23:22:40.8331292Z 
2025-06-05T23:22:40.8331383Z 55% [Waiting for headers]
2025-06-05T23:22:40.8331625Z                          
2025-06-05T23:22:40.8332160Z Get:55 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 lib32stdc++-11-dev amd64 11.4.0-1ubuntu1~22.04 [989 kB]
2025-06-05T23:22:40.8332679Z 
2025-06-05T23:22:40.8332787Z 55% [55 lib32stdc++-11-dev 61.4 kB/989 kB 6%]
2025-06-05T23:22:40.8333166Z                                              
2025-06-05T23:22:40.8333436Z 56% [Working]
2025-06-05T23:22:40.8333645Z              
2025-06-05T23:22:40.8334164Z Get:56 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libx32stdc++-11-dev amd64 11.4.0-1ubuntu1~22.04 [906 kB]
2025-06-05T23:22:40.8334693Z 
2025-06-05T23:22:40.8334805Z 56% [56 libx32stdc++-11-dev 58.8 kB/906 kB 6%]
2025-06-05T23:22:40.8335105Z                                               
2025-06-05T23:22:40.8335383Z 57% [Working]
2025-06-05T23:22:40.8335582Z              
2025-06-05T23:22:40.8336064Z Get:57 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 g++-11-multilib amd64 11.4.0-1ubuntu1~22.04 [890 B]
2025-06-05T23:22:40.8336548Z 
2025-06-05T23:22:40.8336656Z 57% [Working]
2025-06-05T23:22:40.8336853Z              
2025-06-05T23:22:40.8337282Z Get:58 http://archive.ubuntu.com/ubuntu jammy/main amd64 gcc-multilib amd64 4:11.2.0-1ubuntu1 [1382 B]
2025-06-05T23:22:40.8337715Z 
2025-06-05T23:22:40.8337829Z 57% [58 gcc-multilib 1382 B/1382 B 100%]
2025-06-05T23:22:40.8338112Z                                         
2025-06-05T23:22:40.8338389Z 58% [Working]
2025-06-05T23:22:40.8338711Z              
2025-06-05T23:22:40.8339152Z Get:59 http://archive.ubuntu.com/ubuntu jammy/main amd64 g++-multilib amd64 4:11.2.0-1ubuntu1 [854 B]
2025-06-05T23:22:40.8339577Z 
2025-06-05T23:22:40.8339675Z 58% [59 g++-multilib 854 B/854 B 100%]
2025-06-05T23:22:40.8339969Z                                       
2025-06-05T23:22:40.8340238Z 58% [Working]
2025-06-05T23:22:40.8340427Z              
2025-06-05T23:22:40.8340842Z Get:60 http://archive.ubuntu.com/ubuntu jammy/main amd64 gettext amd64 0.21-4ubuntu4 [868 kB]
2025-06-05T23:22:40.8341245Z 
2025-06-05T23:22:40.8341336Z 58% [60 gettext 9835 B/868 kB 1%]
2025-06-05T23:22:40.8341609Z                                  
2025-06-05T23:22:40.8341850Z 59% [Working]
2025-06-05T23:22:40.8342052Z              
2025-06-05T23:22:40.8342474Z Get:61 http://archive.ubuntu.com/ubuntu jammy/main amd64 hunspell-en-us all 1:2020.12.07-2 [280 kB]
2025-06-05T23:22:40.8342910Z 
2025-06-05T23:22:40.8343095Z 59% [61 hunspell-en-us 49.1 kB/280 kB 18%]
2025-06-05T23:22:40.8343400Z                                           
2025-06-05T23:22:40.8343661Z 59% [Working]
2025-06-05T23:22:40.8343861Z              
2025-06-05T23:22:40.8344299Z Get:62 http://archive.ubuntu.com/ubuntu jammy/main amd64 intltool-debian all 0.35.0+20060710.5 [24.9 kB]
2025-06-05T23:22:40.8344755Z 
2025-06-05T23:22:40.8344864Z 59% [62 intltool-debian 24.9 kB/24.9 kB 100%]
2025-06-05T23:22:40.8345163Z                                              
2025-06-05T23:22:40.8345453Z 60% [Working]
2025-06-05T23:22:40.8345650Z              
2025-06-05T23:22:40.8346057Z Get:63 http://archive.ubuntu.com/ubuntu jammy/main amd64 libaliased-perl all 0.34-1.1 [13.3 kB]
2025-06-05T23:22:40.8346464Z 
2025-06-05T23:22:40.8346584Z 60% [63 libaliased-perl 13.3 kB/13.3 kB 100%]
2025-06-05T23:22:40.8346880Z                                              
2025-06-05T23:22:40.8347156Z 60% [Working]
2025-06-05T23:22:40.8347339Z              
2025-06-05T23:22:40.8347784Z Get:64 http://archive.ubuntu.com/ubuntu jammy/main amd64 libapt-pkg-perl amd64 0.1.40build2 [72.5 kB]
2025-06-05T23:22:40.8348221Z 
2025-06-05T23:22:40.8348347Z 60% [64 libapt-pkg-perl 65.2 kB/72.5 kB 90%]
2025-06-05T23:22:40.8348644Z                                             
2025-06-05T23:22:40.8348916Z 60% [Working]
2025-06-05T23:22:40.8349100Z              
2025-06-05T23:22:40.8349536Z Get:65 http://archive.ubuntu.com/ubuntu jammy/main amd64 libarchive-zip-perl all 1.68-1 [90.2 kB]
2025-06-05T23:22:40.8349959Z 
2025-06-05T23:22:40.8350079Z 60% [65 libarchive-zip-perl 24.3 kB/90.2 kB 27%]
2025-06-05T23:22:40.8350404Z                                                 
2025-06-05T23:22:40.8350676Z 60% [Working]
2025-06-05T23:22:40.8350874Z              
2025-06-05T23:22:40.8351305Z Get:66 http://archive.ubuntu.com/ubuntu jammy/main amd64 libaspell15 amd64 0.60.8-4build1 [325 kB]
2025-06-05T23:22:40.8351724Z 
2025-06-05T23:22:40.8351823Z 60% [66 libaspell15 35.4 kB/325 kB 11%]
2025-06-05T23:22:40.8352109Z                                        
2025-06-05T23:22:40.8352372Z 61% [Working]
2025-06-05T23:22:40.8352571Z              
2025-06-05T23:22:40.8353042Z Get:67 http://archive.ubuntu.com/ubuntu jammy/main amd64 libb-hooks-op-check-perl amd64 0.22-1build5 [10.3 kB]
2025-06-05T23:22:40.8353528Z 
2025-06-05T23:22:40.8353669Z 61% [67 libb-hooks-op-check-perl 10.3 kB/10.3 kB 100%]
2025-06-05T23:22:40.8354021Z                                                       
2025-06-05T23:22:40.8354299Z 61% [Working]
2025-06-05T23:22:40.8354497Z              
2025-06-05T23:22:40.8354970Z Get:68 http://archive.ubuntu.com/ubuntu jammy/main amd64 libdynaloader-functions-perl all 0.003-1.1 [12.1 kB]
2025-06-05T23:22:40.8355461Z 
2025-06-05T23:22:40.8355613Z 61% [68 libdynaloader-functions-perl 6950 B/12.1 kB 58%]
2025-06-05T23:22:40.8355960Z                                                         
2025-06-05T23:22:40.8356251Z 61% [Working]
2025-06-05T23:22:40.8356438Z              
2025-06-05T23:22:40.8356940Z Get:69 http://archive.ubuntu.com/ubuntu jammy/main amd64 libdevel-callchecker-perl amd64 0.008-1ubuntu4 [14.9 kB]
2025-06-05T23:22:40.8357538Z 
2025-06-05T23:22:40.8357701Z 61% [69 libdevel-callchecker-perl 14.2 kB/14.9 kB 95%]
2025-06-05T23:22:40.8358039Z                                                       
2025-06-05T23:22:40.8358327Z 61% [Working]
2025-06-05T23:22:40.8358516Z              
2025-06-05T23:22:40.8359001Z Get:70 http://archive.ubuntu.com/ubuntu jammy/main amd64 libparams-classify-perl amd64 0.015-1build5 [22.0 kB]
2025-06-05T23:22:40.8359478Z 
2025-06-05T23:22:40.8359606Z 61% [70 libparams-classify-perl 4096 B/22.0 kB 19%]
2025-06-05T23:22:40.8359943Z                                                    
2025-06-05T23:22:40.8360233Z 61% [Working]
2025-06-05T23:22:40.8360418Z              
2025-06-05T23:22:40.8360862Z Get:71 http://archive.ubuntu.com/ubuntu jammy/main amd64 libmodule-runtime-perl all 0.016-1 [16.2 kB]
2025-06-05T23:22:40.8361299Z 
2025-06-05T23:22:41.3632764Z 61% [71 libmodule-runtime-perl 16.2 kB/16.2 kB 100%]
2025-06-05T23:22:41.3633614Z                                                     
2025-06-05T23:22:41.3634186Z 61% [Working]
2025-06-05T23:22:41.3634378Z              
2025-06-05T23:22:41.3634817Z Get:72 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtry-tiny-perl all 0.31-1 [21.8 kB]
2025-06-05T23:22:41.3635239Z 
2025-06-05T23:22:41.3635368Z 61% [72 libtry-tiny-perl 21.8 kB/21.8 kB 100%]
2025-06-05T23:22:41.3635671Z                                               
2025-06-05T23:22:41.3635949Z 61% [Working]
2025-06-05T23:22:41.3636135Z              
2025-06-05T23:22:41.3636621Z Get:73 http://archive.ubuntu.com/ubuntu jammy/main amd64 libmodule-implementation-perl all 0.09-1.1 [11.6 kB]
2025-06-05T23:22:41.3637099Z 
2025-06-05T23:22:41.3637312Z 61% [73 libmodule-implementation-perl 4096 B/11.6 kB 35%]
2025-06-05T23:22:41.3637670Z                                                          
2025-06-05T23:22:41.3637962Z 61% [Working]
2025-06-05T23:22:41.3638163Z              
2025-06-05T23:22:41.3638665Z Get:74 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsub-exporter-progressive-perl all 0.001013-1 [6784 B]
2025-06-05T23:22:41.3639171Z 
2025-06-05T23:22:41.3639353Z 61% [74 libsub-exporter-progressive-perl 6784 B/6784 B 100%]
2025-06-05T23:22:41.3639725Z                                                             
2025-06-05T23:22:41.3640023Z 62% [Working]
2025-06-05T23:22:41.3640213Z              
2025-06-05T23:22:41.3640688Z Get:75 http://archive.ubuntu.com/ubuntu jammy/main amd64 libvariable-magic-perl amd64 0.62-1build5 [35.9 kB]
2025-06-05T23:22:41.3641156Z 
2025-06-05T23:22:41.3641290Z 62% [75 libvariable-magic-perl 2606 B/35.9 kB 7%]
2025-06-05T23:22:41.3641606Z                                                  
2025-06-05T23:22:41.3641891Z 62% [Working]
2025-06-05T23:22:41.3642077Z              
2025-06-05T23:22:41.3642547Z Get:76 http://archive.ubuntu.com/ubuntu jammy/main amd64 libb-hooks-endofscope-perl all 0.25-1 [17.8 kB]
2025-06-05T23:22:41.3643003Z 
2025-06-05T23:22:41.3643151Z 62% [76 libb-hooks-endofscope-perl 6950 B/17.8 kB 39%]
2025-06-05T23:22:41.3643506Z                                                       
2025-06-05T23:22:41.3643796Z 62% [Working]
2025-06-05T23:22:41.3643983Z              
2025-06-05T23:22:41.3644420Z Get:77 http://archive.ubuntu.com/ubuntu jammy/main amd64 libcapture-tiny-perl all 0.48-1 [20.4 kB]
2025-06-05T23:22:41.3644850Z 
2025-06-05T23:22:41.3644977Z 62% [77 libcapture-tiny-perl 20.4 kB/20.4 kB 100%]
2025-06-05T23:22:41.3645306Z                                                   
2025-06-05T23:22:41.3645582Z 62% [Working]
2025-06-05T23:22:41.3645782Z              
2025-06-05T23:22:41.3646250Z Get:78 http://archive.ubuntu.com/ubuntu jammy/main amd64 libclass-data-inheritable-perl all 0.08-3 [8084 B]
2025-06-05T23:22:41.3646735Z 
2025-06-05T23:22:41.3646890Z 62% [78 libclass-data-inheritable-perl 6951 B/8084 B 86%]
2025-06-05T23:22:41.3647300Z                                                          
2025-06-05T23:22:41.3647645Z 62% [Working]
2025-06-05T23:22:41.3647847Z              
2025-06-05T23:22:41.3648486Z Get:79 http://archive.ubuntu.com/ubuntu jammy/main amd64 libclass-method-modifiers-perl all 2.13-1 [16.2 kB]
2025-06-05T23:22:41.3649176Z 
2025-06-05T23:22:41.3649417Z 62% [79 libclass-method-modifiers-perl 16.2 kB/16.2 kB 100%]
2025-06-05T23:22:41.3649867Z                                                             
2025-06-05T23:22:41.3650215Z 62% [Working]
2025-06-05T23:22:41.3650413Z              
2025-06-05T23:22:41.3650887Z Get:80 http://archive.ubuntu.com/ubuntu jammy/main amd64 libclass-xsaccessor-perl amd64 1.19-3build9 [34.1 kB]
2025-06-05T23:22:41.3651366Z 
2025-06-05T23:22:41.3651518Z 62% [80 libclass-xsaccessor-perl 16.3 kB/34.1 kB 48%]
2025-06-05T23:22:41.3651856Z                                                      
2025-06-05T23:22:41.3652146Z 62% [Working]
2025-06-05T23:22:41.3652333Z              
2025-06-05T23:22:41.3652764Z Get:81 http://archive.ubuntu.com/ubuntu jammy/main amd64 libclone-perl amd64 0.45-1build3 [11.0 kB]
2025-06-05T23:22:41.3653264Z 
2025-06-05T23:22:41.3653519Z 62% [81 libclone-perl 11.0 kB/11.0 kB 100%]
2025-06-05T23:22:41.3653811Z                                            
2025-06-05T23:22:41.3654085Z 62% [Working]
2025-06-05T23:22:41.3654268Z              
2025-06-05T23:22:41.3654697Z Get:82 http://archive.ubuntu.com/ubuntu jammy/main amd64 libconfig-tiny-perl all 2.28-1 [13.1 kB]
2025-06-05T23:22:41.3655119Z 
2025-06-05T23:22:41.3655239Z 62% [82 libconfig-tiny-perl 13.1 kB/13.1 kB 100%]
2025-06-05T23:22:41.3655564Z                                                  
2025-06-05T23:22:41.3655850Z 62% [Working]
2025-06-05T23:22:41.3656093Z              
2025-06-05T23:22:41.3656573Z Get:83 http://archive.ubuntu.com/ubuntu jammy/main amd64 libparams-util-perl amd64 1.102-1build3 [22.7 kB]
2025-06-05T23:22:41.3657031Z 
2025-06-05T23:22:41.3657150Z 62% [83 libparams-util-perl 16.4 kB/22.7 kB 72%]
2025-06-05T23:22:41.3657471Z                                                 
2025-06-05T23:22:41.3657744Z 63% [Working]
2025-06-05T23:22:41.3657941Z              
2025-06-05T23:22:41.3658372Z Get:84 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsub-install-perl all 0.928-1.1 [9972 B]
2025-06-05T23:22:41.3658814Z 
2025-06-05T23:22:41.3658932Z 63% [84 libsub-install-perl 9972 B/9972 B 100%]
2025-06-05T23:22:41.3659256Z                                                
2025-06-05T23:22:41.3659525Z 63% [Working]
2025-06-05T23:22:41.3659721Z              
2025-06-05T23:22:41.3660148Z Get:85 http://archive.ubuntu.com/ubuntu jammy/main amd64 libdata-optlist-perl all 0.112-1 [11.0 kB]
2025-06-05T23:22:41.3660587Z 
2025-06-05T23:22:41.3660704Z 63% [85 libdata-optlist-perl 6950 B/11.0 kB 63%]
2025-06-05T23:22:41.3661012Z                                                 
2025-06-05T23:22:41.3661291Z 63% [Working]
2025-06-05T23:22:41.3661480Z              
2025-06-05T23:22:41.3661912Z Get:86 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsub-exporter-perl all 0.988-1 [50.6 kB]
2025-06-05T23:22:41.3662338Z 
2025-06-05T23:22:41.3662478Z 63% [86 libsub-exporter-perl 18.5 kB/50.6 kB 37%]
2025-06-05T23:22:41.3662802Z                                                  
2025-06-05T23:22:41.3663086Z 63% [Working]
2025-06-05T23:22:41.3663271Z              
2025-06-05T23:22:41.3663703Z Get:87 http://archive.ubuntu.com/ubuntu jammy/main amd64 libconst-fast-perl all 0.014-1.1 [7756 B]
2025-06-05T23:22:41.3664124Z 
2025-06-05T23:22:41.3664239Z 63% [87 libconst-fast-perl 7756 B/7756 B 100%]
2025-06-05T23:22:41.3664557Z                                               
2025-06-05T23:22:41.3664835Z 63% [Working]
2025-06-05T23:22:41.3665021Z              
2025-06-05T23:22:41.3665543Z Get:88 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libcpanel-json-xs-perl amd64 4.27-1ubuntu0.1 [115 kB]
2025-06-05T23:22:41.3666059Z 
2025-06-05T23:22:41.3666180Z 63% [88 libcpanel-json-xs-perl 6948 B/115 kB 6%]
2025-06-05T23:22:41.3666503Z                                                 
2025-06-05T23:22:41.3666768Z 63% [Working]
2025-06-05T23:22:41.3666966Z              
2025-06-05T23:22:41.3667425Z Get:89 http://archive.ubuntu.com/ubuntu jammy/main amd64 libdevel-stacktrace-perl all 2.0400-1 [22.7 kB]
2025-06-05T23:22:41.3667967Z 
2025-06-05T23:22:41.3668110Z 63% [89 libdevel-stacktrace-perl 22.7 kB/22.7 kB 100%]
2025-06-05T23:22:41.3668469Z                                                       
2025-06-05T23:22:41.3668745Z 63% [Working]
2025-06-05T23:22:41.3668947Z              
2025-06-05T23:22:41.3669379Z Get:90 http://archive.ubuntu.com/ubuntu jammy/main amd64 libexception-class-perl all 1.45-1 [28.6 kB]
2025-06-05T23:22:41.3669831Z 
2025-06-05T23:22:41.3669965Z 63% [90 libexception-class-perl 20.5 kB/28.6 kB 72%]
2025-06-05T23:22:41.3670308Z                                                     
2025-06-05T23:22:41.3670672Z 64% [Working]
2025-06-05T23:22:41.3670877Z              
2025-06-05T23:22:41.3671305Z Get:91 http://archive.ubuntu.com/ubuntu jammy/main amd64 libiterator-perl all 0.03+ds1-1.1 [18.2 kB]
2025-06-05T23:22:41.3671745Z 
2025-06-05T23:22:41.3671924Z 64% [91 libiterator-perl 14.8 kB/18.2 kB 81%]
2025-06-05T23:22:41.3672230Z                                              
2025-06-05T23:22:41.3672509Z 64% [Working]
2025-06-05T23:22:41.3672692Z              
2025-06-05T23:22:41.3673181Z Get:92 http://archive.ubuntu.com/ubuntu jammy/main amd64 libiterator-util-perl all 0.02+ds1-1.1 [13.6 kB]
2025-06-05T23:22:41.3673636Z 
2025-06-05T23:22:41.3673771Z 64% [92 libiterator-util-perl 13.6 kB/13.6 kB 100%]
2025-06-05T23:22:41.3674090Z                                                    
2025-06-05T23:22:41.3674373Z 64% [Working]
2025-06-05T23:22:41.3674558Z              
2025-06-05T23:22:41.3675008Z Get:93 http://archive.ubuntu.com/ubuntu jammy/main amd64 libexporter-tiny-perl all 1.002002-1 [36.2 kB]
2025-06-05T23:22:41.3675451Z 
2025-06-05T23:22:41.3675577Z 64% [93 libexporter-tiny-perl 36.2 kB/36.2 kB 100%]
2025-06-05T23:22:41.3675908Z                                                    
2025-06-05T23:22:41.3676194Z 64% [Working]
2025-06-05T23:22:41.3676381Z              
2025-06-05T23:22:41.3676884Z Get:94 http://archive.ubuntu.com/ubuntu jammy/main amd64 liblist-moreutils-xs-perl amd64 0.430-2build2 [41.9 kB]
2025-06-05T23:22:41.3677374Z 
2025-06-05T23:22:41.3677517Z 64% [94 liblist-moreutils-xs-perl 11.5 kB/41.9 kB 27%]
2025-06-05T23:22:41.3677869Z                                                       
2025-06-05T23:22:41.3678147Z 64% [Working]
2025-06-05T23:22:41.3678348Z              
2025-06-05T23:22:41.3678779Z Get:95 http://archive.ubuntu.com/ubuntu jammy/main amd64 liblist-moreutils-perl all 0.430-2 [38.2 kB]
2025-06-05T23:22:41.3679230Z 
2025-06-05T23:22:41.3679354Z 64% [95 liblist-moreutils-perl 15.6 kB/38.2 kB 41%]
2025-06-05T23:22:41.3679684Z                                                    
2025-06-05T23:22:41.3679955Z 64% [Working]
2025-06-05T23:22:41.3680172Z              
2025-06-05T23:22:41.3680586Z Get:96 http://archive.ubuntu.com/ubuntu jammy/main amd64 libdata-dpath-perl all 0.58-1 [38.8 kB]
2025-06-05T23:22:41.3681015Z 
2025-06-05T23:22:41.3681137Z 64% [96 libdata-dpath-perl 31.6 kB/38.8 kB 81%]
2025-06-05T23:22:41.3681453Z                                                
2025-06-05T23:22:41.3681739Z 64% [Working]
2025-06-05T23:22:41.3681940Z              
2025-06-05T23:22:41.3682416Z Get:97 http://archive.ubuntu.com/ubuntu jammy/main amd64 libdata-messagepack-perl amd64 1.01-2build1 [34.7 kB]
2025-06-05T23:22:41.3682896Z 
2025-06-05T23:22:41.3683054Z 64% [97 libdata-messagepack-perl 22.8 kB/34.7 kB 66%]
2025-06-05T23:22:41.3683392Z                                                      
2025-06-05T23:22:41.3683683Z 65% [Working]
2025-06-05T23:22:41.3683872Z              
2025-06-05T23:22:41.3684323Z Get:98 http://archive.ubuntu.com/ubuntu jammy/main amd64 libnet-domain-tld-perl all 1.75-1.1 [29.3 kB]
2025-06-05T23:22:41.3684765Z 
2025-06-05T23:22:41.3684906Z 65% [98 libnet-domain-tld-perl 6950 B/29.3 kB 24%]
2025-06-05T23:22:41.3685232Z                                                   
2025-06-05T23:22:41.3685518Z 65% [Working]
2025-06-05T23:22:41.3685706Z              
2025-06-05T23:22:41.3686260Z Get:99 http://archive.ubuntu.com/ubuntu jammy/main amd64 libdata-validate-domain-perl all 0.10-1.1 [9992 B]
2025-06-05T23:22:41.3686733Z 
2025-06-05T23:22:41.3686885Z 65% [99 libdata-validate-domain-perl 9992 B/9992 B 100%]
2025-06-05T23:22:41.3687247Z                                                         
2025-06-05T23:22:41.3687529Z 65% [Working]
2025-06-05T23:22:41.3687732Z              
2025-06-05T23:22:41.3688173Z Get:100 http://archive.ubuntu.com/ubuntu jammy/main amd64 libnet-ipv6addr-perl all 1.02-1 [21.0 kB]
2025-06-05T23:22:41.3688611Z 
2025-06-05T23:22:41.3688736Z 65% [100 libnet-ipv6addr-perl 13.5 kB/21.0 kB 64%]
2025-06-05T23:22:41.3689065Z                                                   
2025-06-05T23:22:41.3689338Z 65% [Working]
2025-06-05T23:22:41.3689538Z              
2025-06-05T23:22:41.3689967Z Get:101 http://archive.ubuntu.com/ubuntu jammy/main amd64 libnet-netmask-perl all 2.0001-1 [27.7 kB]
2025-06-05T23:22:41.3690413Z 
2025-06-05T23:22:41.3690593Z 65% [101 libnet-netmask-perl 27.7 kB/27.7 kB 100%]
2025-06-05T23:22:41.3690924Z                                                   
2025-06-05T23:22:41.3691255Z 65% [Working]
2025-06-05T23:22:41.3691478Z              
2025-06-05T23:22:41.3691954Z Get:102 http://archive.ubuntu.com/ubuntu jammy/main amd64 libnetaddr-ip-perl amd64 4.079+dfsg-1build7 [82.4 kB]
2025-06-05T23:22:41.3692447Z 
2025-06-05T23:22:41.3692564Z 65% [102 libnetaddr-ip-perl 2605 B/82.4 kB 3%]
2025-06-05T23:22:41.3692873Z                                               
2025-06-05T23:22:41.3693234Z 65% [Working]
2025-06-05T23:22:41.3693423Z              
2025-06-05T23:22:41.3693908Z Get:103 http://archive.ubuntu.com/ubuntu jammy/main amd64 libdata-validate-ip-perl all 0.30-1 [17.3 kB]
2025-06-05T23:22:41.3694361Z 
2025-06-05T23:22:41.3694513Z 65% [103 libdata-validate-ip-perl 2606 B/17.3 kB 15%]
2025-06-05T23:22:41.3694849Z                                                      
2025-06-05T23:22:41.3695140Z 65% [Working]
2025-06-05T23:22:41.3695327Z              
2025-06-05T23:22:41.3695800Z Get:104 http://archive.ubuntu.com/ubuntu jammy/main amd64 libdata-validate-uri-perl all 0.07-2 [11.1 kB]
2025-06-05T23:22:41.3696257Z 
2025-06-05T23:22:41.3696410Z 65% [104 libdata-validate-uri-perl 2436 B/11.1 kB 22%]
2025-06-05T23:22:41.3696752Z                                                       
2025-06-05T23:22:41.3697039Z 65% [Working]
2025-06-05T23:22:41.3697226Z              
2025-06-05T23:22:41.3697715Z Get:105 http://archive.ubuntu.com/ubuntu jammy/main amd64 libemail-address-xs-perl amd64 1.04-1build6 [28.7 kB]
2025-06-05T23:22:41.3698198Z 
2025-06-05T23:22:41.3698332Z 66% [105 libemail-address-xs-perl 2646 B/28.7 kB 9%]
2025-06-05T23:22:41.9137545Z                                                     
2025-06-05T23:22:41.9138079Z 66% [Working]
2025-06-05T23:22:41.9138383Z              
2025-06-05T23:22:41.9139221Z Get:106 http://archive.ubuntu.com/ubuntu jammy/main amd64 libhunspell-1.7-0 amd64 1.7.0-4build1 [175 kB]
2025-06-05T23:22:41.9139694Z 
2025-06-05T23:22:41.9139884Z 66% [106 libhunspell-1.7-0 0 B/175 kB 0%]
2025-06-05T23:22:41.9140192Z                                          
2025-06-05T23:22:41.9140477Z 66% [Waiting for headers]
2025-06-05T23:22:41.9140713Z                          
2025-06-05T23:22:41.9141197Z Get:107 http://archive.ubuntu.com/ubuntu jammy/main amd64 libenchant-2-2 amd64 2.3.2-1ubuntu2 [50.9 kB]
2025-06-05T23:22:41.9141727Z 
2025-06-05T23:22:41.9141831Z 66% [107 libenchant-2-2 934 B/50.9 kB 2%]
2025-06-05T23:22:41.9142134Z                                          
2025-06-05T23:22:41.9142407Z 66% [Working]
2025-06-05T23:22:41.9142595Z              
2025-06-05T23:22:41.9143088Z Get:108 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libexpat1-dev amd64 2.4.7-1ubuntu0.6 [148 kB]
2025-06-05T23:22:41.9143572Z 
2025-06-05T23:22:41.9143676Z 66% [108 libexpat1-dev 1170 B/148 kB 1%]
2025-06-05T23:22:41.9143971Z                                         
2025-06-05T23:22:41.9144229Z 66% [Working]
2025-06-05T23:22:41.9144428Z              
2025-06-05T23:22:41.9145104Z Get:109 http://archive.ubuntu.com/ubuntu jammy/main amd64 libipc-system-simple-perl all 1.30-1 [23.2 kB]
2025-06-05T23:22:41.9145578Z 
2025-06-05T23:22:41.9145719Z 66% [109 libipc-system-simple-perl 250 B/23.2 kB 1%]
2025-06-05T23:22:41.9146071Z                                                     
2025-06-05T23:22:41.9146348Z 67% [Working]
2025-06-05T23:22:41.9146552Z              
2025-06-05T23:22:41.9146982Z Get:110 http://archive.ubuntu.com/ubuntu jammy/main amd64 libfile-basedir-perl all 0.09-1 [15.7 kB]
2025-06-05T23:22:41.9147431Z 
2025-06-05T23:22:41.9147551Z 67% [110 libfile-basedir-perl 422 B/15.7 kB 3%]
2025-06-05T23:22:41.9147863Z                                                
2025-06-05T23:22:41.9148147Z 67% [Working]
2025-06-05T23:22:41.9148348Z              
2025-06-05T23:22:41.9148780Z Get:111 http://archive.ubuntu.com/ubuntu jammy/main amd64 libnumber-compare-perl all 0.03-2 [7058 B]
2025-06-05T23:22:41.9149216Z 
2025-06-05T23:22:41.9149445Z 67% [111 libnumber-compare-perl 1771 B/7058 B 25%]
2025-06-05T23:22:41.9149776Z                                                   
2025-06-05T23:22:41.9150068Z 67% [Working]
2025-06-05T23:22:41.9150258Z              
2025-06-05T23:22:41.9150679Z Get:112 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtext-glob-perl all 0.11-2 [8042 B]
2025-06-05T23:22:41.9151095Z 
2025-06-05T23:22:41.9151218Z 67% [112 libtext-glob-perl 1664 B/8042 B 21%]
2025-06-05T23:22:41.9151518Z                                              
2025-06-05T23:22:41.9151796Z 67% [Working]
2025-06-05T23:22:41.9152055Z              
2025-06-05T23:22:41.9152504Z Get:113 http://archive.ubuntu.com/ubuntu jammy/main amd64 libfile-find-rule-perl all 0.34-1 [28.3 kB]
2025-06-05T23:22:41.9159915Z 
2025-06-05T23:22:41.9160162Z 67% [113 libfile-find-rule-perl 2020 B/28.3 kB 7%]
2025-06-05T23:22:41.9160533Z                                                   
2025-06-05T23:22:41.9160829Z 67% [Waiting for headers]
2025-06-05T23:22:41.9161082Z                          
2025-06-05T23:22:41.9161596Z Get:114 http://archive.ubuntu.com/ubuntu jammy/main amd64 libio-string-perl all 1.08-3.1 [10.7 kB]
2025-06-05T23:22:41.9162034Z 
2025-06-05T23:22:41.9162151Z 67% [114 libio-string-perl 1346 B/10.7 kB 13%]
2025-06-05T23:22:41.9162473Z                                               
2025-06-05T23:22:41.9162758Z 67% [Waiting for headers]
2025-06-05T23:22:41.9163005Z                          
2025-06-05T23:22:41.9163451Z Get:115 http://archive.ubuntu.com/ubuntu jammy/main amd64 libfont-ttf-perl all 1.06-1.1 [316 kB]
2025-06-05T23:22:41.9163883Z 
2025-06-05T23:22:41.9163994Z 67% [115 libfont-ttf-perl 3418 B/316 kB 1%]
2025-06-05T23:22:41.9164302Z                                            
2025-06-05T23:22:41.9164577Z 68% [Waiting for headers]
2025-06-05T23:22:41.9164822Z                          
2025-06-05T23:22:41.9165323Z Get:116 http://archive.ubuntu.com/ubuntu jammy/main amd64 libhtml-html5-entities-perl all 0.004-1.1 [20.8 kB]
2025-06-05T23:22:41.9165813Z 
2025-06-05T23:22:41.9165969Z 68% [116 libhtml-html5-entities-perl 4914 B/20.8 kB 24%]
2025-06-05T23:22:41.9166321Z                                                         
2025-06-05T23:22:41.9166616Z 68% [Working]
2025-06-05T23:22:41.9166823Z              
2025-06-05T23:22:41.9167261Z Get:117 http://archive.ubuntu.com/ubuntu jammy/main amd64 libimport-into-perl all 1.002005-1 [11.0 kB]
2025-06-05T23:22:41.9167706Z 
2025-06-05T23:22:41.9167840Z 68% [117 libimport-into-perl 9846 B/11.0 kB 89%]
2025-06-05T23:22:41.9168153Z                                                 
2025-06-05T23:22:41.9168439Z 68% [Working]
2025-06-05T23:22:41.9168630Z              
2025-06-05T23:22:41.9169088Z Get:118 http://archive.ubuntu.com/ubuntu jammy/main amd64 libio-interactive-perl all 1.023-1 [10.4 kB]
2025-06-05T23:22:41.9169529Z 
2025-06-05T23:22:41.9169671Z 68% [118 libio-interactive-perl 9846 B/10.4 kB 94%]
2025-06-05T23:22:41.9169995Z                                                    
2025-06-05T23:22:41.9170281Z 68% [Working]
2025-06-05T23:22:41.9170470Z              
2025-06-05T23:22:41.9171057Z Get:119 http://archive.ubuntu.com/ubuntu jammy/main amd64 libio-prompt-tiny-perl all 0.003-1 [8924 B]
2025-06-05T23:22:41.9171501Z 
2025-06-05T23:22:41.9171629Z 68% [119 libio-prompt-tiny-perl 8924 B/8924 B 100%]
2025-06-05T23:22:41.9171968Z                                                    
2025-06-05T23:22:41.9172239Z 68% [Working]
2025-06-05T23:22:41.9172441Z              
2025-06-05T23:22:41.9172897Z Get:120 http://archive.ubuntu.com/ubuntu jammy/main amd64 libjson-maybexs-perl all 1.004003-1 [11.3 kB]
2025-06-05T23:22:41.9173429Z 
2025-06-05T23:22:41.9173553Z 68% [120 libjson-maybexs-perl 3884 B/11.3 kB 34%]
2025-06-05T23:22:41.9173885Z                                                  
2025-06-05T23:22:41.9174159Z 68% [Working]
2025-06-05T23:22:41.9174360Z              
2025-06-05T23:22:41.9174792Z Get:121 http://archive.ubuntu.com/ubuntu jammy/main amd64 liblist-compare-perl all 0.55-1 [63.3 kB]
2025-06-05T23:22:41.9175241Z 
2025-06-05T23:22:41.9175433Z 68% [121 liblist-compare-perl 8416 B/63.3 kB 13%]
2025-06-05T23:22:41.9175766Z                                                  
2025-06-05T23:22:41.9176038Z 68% [Working]
2025-06-05T23:22:41.9176244Z              
2025-06-05T23:22:41.9176683Z Get:122 http://archive.ubuntu.com/ubuntu jammy/main amd64 liblist-someutils-perl all 0.58-1 [29.7 kB]
2025-06-05T23:22:41.9177140Z 
2025-06-05T23:22:41.9177271Z 68% [122 liblist-someutils-perl 7938 B/29.7 kB 27%]
2025-06-05T23:22:41.9177595Z                                                    
2025-06-05T23:22:41.9177897Z 69% [Waiting for headers]
2025-06-05T23:22:41.9178126Z                          
2025-06-05T23:22:41.9178600Z Get:123 http://archive.ubuntu.com/ubuntu jammy/main amd64 liblist-utilsby-perl all 0.11-1 [14.7 kB]
2025-06-05T23:22:41.9179035Z 
2025-06-05T23:22:41.9179168Z 69% [123 liblist-utilsby-perl 8380 B/14.7 kB 57%]
2025-06-05T23:22:41.9179481Z                                                  
2025-06-05T23:22:41.9179766Z 69% [Working]
2025-06-05T23:22:41.9179957Z              
2025-06-05T23:22:41.9180381Z Get:124 http://archive.ubuntu.com/ubuntu jammy/main amd64 liblzo2-2 amd64 2.10-2build3 [53.7 kB]
2025-06-05T23:22:41.9180796Z 
2025-06-05T23:22:41.9180893Z 69% [124 liblzo2-2 12.7 kB/53.7 kB 24%]
2025-06-05T23:22:41.9181181Z                                        
2025-06-05T23:22:41.9181463Z 69% [Waiting for headers]
2025-06-05T23:22:41.9181697Z                          
2025-06-05T23:22:41.9182147Z Get:125 http://archive.ubuntu.com/ubuntu jammy/main amd64 libmarkdown2 amd64 2.2.7-2 [38.3 kB]
2025-06-05T23:22:41.9182555Z 
2025-06-05T23:22:41.9182662Z 69% [125 libmarkdown2 15.3 kB/38.3 kB 40%]
2025-06-05T23:22:41.9182960Z                                           
2025-06-05T23:22:41.9183224Z 69% [Working]
2025-06-05T23:22:41.9183475Z              
2025-06-05T23:22:41.9184196Z Get:126 http://archive.ubuntu.com/ubuntu jammy/main amd64 librole-tiny-perl all 2.002004-1 [16.3 kB]
2025-06-05T23:22:41.9184950Z 
2025-06-05T23:22:41.9185152Z 69% [126 librole-tiny-perl 8576 B/16.3 kB 53%]
2025-06-05T23:22:41.9185681Z                                               
2025-06-05T23:22:41.9186097Z 69% [Working]
2025-06-05T23:22:41.9186352Z              
2025-06-05T23:22:41.9186845Z Get:127 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsub-quote-perl all 2.006006-1 [19.5 kB]
2025-06-05T23:22:41.9187342Z 
2025-06-05T23:22:41.9187461Z 69% [127 libsub-quote-perl 8398 B/19.5 kB 43%]
2025-06-05T23:22:41.9187768Z                                               
2025-06-05T23:22:41.9188051Z 69% [Working]
2025-06-05T23:22:41.9188255Z              
2025-06-05T23:22:41.9188657Z Get:128 http://archive.ubuntu.com/ubuntu jammy/main amd64 libmoo-perl all 2.005004-3 [48.0 kB]
2025-06-05T23:22:41.9189066Z 
2025-06-05T23:22:41.9189186Z 69% [128 libmoo-perl 15.6 kB/48.0 kB 33%]
2025-06-05T23:22:41.9189472Z                                          
2025-06-05T23:22:41.9189745Z 69% [Working]
2025-06-05T23:22:41.9189931Z              
2025-06-05T23:22:41.9190385Z Get:129 http://archive.ubuntu.com/ubuntu jammy/main amd64 libstrictures-perl all 2.000006-1 [16.3 kB]
2025-06-05T23:22:41.9190958Z 
2025-06-05T23:22:41.9191094Z 69% [129 libstrictures-perl 15.2 kB/16.3 kB 93%]
2025-06-05T23:22:41.9191409Z                                                 
2025-06-05T23:22:41.9191694Z 69% [Working]
2025-06-05T23:22:41.9191881Z              
2025-06-05T23:22:41.9192345Z Get:130 http://archive.ubuntu.com/ubuntu jammy/main amd64 libmoox-aliases-perl all 0.001006-1.1 [6632 B]
2025-06-05T23:22:41.9192795Z 
2025-06-05T23:22:41.9192915Z 69% [130 libmoox-aliases-perl 5787 B/6632 B 87%]
2025-06-05T23:22:41.9193236Z                                                 
2025-06-05T23:22:41.9193507Z 70% [Working]
2025-06-05T23:22:41.9193708Z              
2025-06-05T23:22:41.9194153Z Get:131 http://archive.ubuntu.com/ubuntu jammy/main amd64 libmouse-perl amd64 2.5.10-1build4 [161 kB]
2025-06-05T23:22:41.9194586Z 
2025-06-05T23:22:41.9194690Z 70% [131 libmouse-perl 7551 B/161 kB 5%]
2025-06-05T23:22:41.9195052Z                                         
2025-06-05T23:22:41.9195318Z 70% [Working]
2025-06-05T23:22:41.9195521Z              
2025-06-05T23:22:41.9195959Z Get:132 http://archive.ubuntu.com/ubuntu jammy/main amd64 libpackage-stash-perl all 0.39-1 [19.1 kB]
2025-06-05T23:22:41.9196411Z 
2025-06-05T23:22:41.9196539Z 70% [132 libpackage-stash-perl 12.6 kB/19.1 kB 66%]
2025-06-05T23:22:41.9196878Z                                                    
2025-06-05T23:22:41.9197157Z 70% [Working]
2025-06-05T23:22:41.9197359Z              
2025-06-05T23:22:41.9197821Z Get:133 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsub-identify-perl amd64 0.14-1build5 [10.4 kB]
2025-06-05T23:22:41.9198298Z 
2025-06-05T23:22:41.9198415Z 70% [133 libsub-identify-perl 0 B/10.4 kB 0%]
2025-06-05T23:22:41.9198720Z                                              
2025-06-05T23:22:41.9199002Z 70% [Working]
2025-06-05T23:22:41.9199192Z              
2025-06-05T23:22:41.9199652Z Get:134 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsub-name-perl amd64 0.26-1build3 [11.4 kB]
2025-06-05T23:22:41.9200102Z 
2025-06-05T23:22:41.9200228Z 70% [134 libsub-name-perl 8192 B/11.4 kB 72%]
2025-06-05T23:22:41.9200527Z                                              
2025-06-05T23:22:41.9200805Z 70% [Working]
2025-06-05T23:22:41.9200991Z              
2025-06-05T23:22:41.9201447Z Get:135 http://archive.ubuntu.com/ubuntu jammy/main amd64 libnamespace-clean-perl all 0.27-1 [13.6 kB]
2025-06-05T23:22:41.9201892Z 
2025-06-05T23:22:41.9202031Z 70% [135 libnamespace-clean-perl 12.7 kB/13.6 kB 94%]
2025-06-05T23:22:41.9202380Z                                                      
2025-06-05T23:22:41.9202670Z 70% [Working]
2025-06-05T23:22:41.9202859Z              
2025-06-05T23:22:41.9203289Z Get:136 http://archive.ubuntu.com/ubuntu jammy/main amd64 libpath-tiny-perl all 0.122-1 [45.9 kB]
2025-06-05T23:22:41.9203714Z 
2025-06-05T23:22:41.9203831Z 70% [136 libpath-tiny-perl 15.6 kB/45.9 kB 34%]
2025-06-05T23:22:41.9204155Z                                                
2025-06-05T23:22:41.9204433Z 71% [Working]
2025-06-05T23:22:41.9204636Z              
2025-06-05T23:22:41.9205095Z Get:137 http://archive.ubuntu.com/ubuntu jammy/main amd64 libperlio-gzip-perl amd64 0.19-1build8 [14.9 kB]
2025-06-05T23:22:41.9205570Z 
2025-06-05T23:22:41.9205690Z 71% [137 libperlio-gzip-perl 9846 B/14.9 kB 66%]
2025-06-05T23:22:41.9206016Z                                                 
2025-06-05T23:22:41.9206287Z 71% [Working]
2025-06-05T23:22:41.9206490Z              
2025-06-05T23:22:41.9206983Z Get:138 http://archive.ubuntu.com/ubuntu jammy/main amd64 libperlio-utf8-strict-perl amd64 0.009-1build1 [11.9 kB]
2025-06-05T23:22:41.9207493Z 
2025-06-05T23:22:41.9207641Z 71% [138 libperlio-utf8-strict-perl 11.3 kB/11.9 kB 95%]
2025-06-05T23:22:41.9207999Z                                                         
2025-06-05T23:22:41.9208278Z 71% [Working]
2025-06-05T23:22:41.9208479Z              
2025-06-05T23:22:41.9208899Z Get:139 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libpkgconf3 amd64 1.8.0-1 [30.3 kB]
2025-06-05T23:22:41.9209391Z 
2025-06-05T23:22:41.9209507Z 71% [139 libpkgconf3 15.6 kB/30.3 kB 52%]
2025-06-05T23:22:41.9209793Z                                          
2025-06-05T23:22:41.9210066Z 71% [Working]
2025-06-05T23:22:41.9210252Z              
2025-06-05T23:22:41.9210758Z Get:140 http://archive.ubuntu.com/ubuntu jammy/main amd64 libproc-processtable-perl amd64 0.634-1build1 [37.5 kB]
2025-06-05T23:22:41.9211252Z 
2025-06-05T23:22:41.9211409Z 71% [140 libproc-processtable-perl 4096 B/37.5 kB 11%]
2025-06-05T23:22:41.9211750Z                                                       
2025-06-05T23:22:41.9212040Z 71% [Working]
2025-06-05T23:22:42.5357821Z              
2025-06-05T23:22:42.5358764Z Get:141 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libpugixml1v5 amd64 1.12.1-1 [91.7 kB]
2025-06-05T23:22:42.5359264Z 
2025-06-05T23:22:42.5359378Z 71% [141 libpugixml1v5 9575 B/91.7 kB 10%]
2025-06-05T23:22:42.5359686Z                                           
2025-06-05T23:22:42.5360295Z 71% [Waiting for headers]
2025-06-05T23:22:42.5360749Z                          
2025-06-05T23:22:42.5361455Z Get:142 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libpugixml-dev amd64 1.12.1-1 [114 kB]
2025-06-05T23:22:42.5362239Z 
2025-06-05T23:22:42.5362401Z 71% [142 libpugixml-dev 4078 B/114 kB 4%]
2025-06-05T23:22:42.5362887Z                                          
2025-06-05T23:22:42.5363331Z 71% [Working]
2025-06-05T23:22:42.5363633Z              
2025-06-05T23:22:42.5364386Z Get:143 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libpython3.10-dev amd64 3.10.12-1~22.04.9 [4763 kB]
2025-06-05T23:22:42.5364916Z 
2025-06-05T23:22:42.5365051Z 72% [143 libpython3.10-dev 14.9 kB/4763 kB 0%]
2025-06-05T23:22:42.5365360Z                                               
2025-06-05T23:22:42.5365660Z 78% [Waiting for headers]
2025-06-05T23:22:42.5365895Z                          
2025-06-05T23:22:42.5366446Z Get:144 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libpython3-dev amd64 3.10.6-1~22.04.1 [7064 B]
2025-06-05T23:22:42.5366940Z 
2025-06-05T23:22:42.5367034Z 78% [Waiting for headers]
2025-06-05T23:22:42.5367286Z                          
2025-06-05T23:22:42.5367781Z Get:145 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsereal-decoder-perl amd64 4.023+ds-1 [100 kB]
2025-06-05T23:22:42.5368262Z 
2025-06-05T23:22:42.5368396Z 78% [145 libsereal-decoder-perl 15.3 kB/100 kB 15%]
2025-06-05T23:22:42.5368739Z                                                    
2025-06-05T23:22:42.5369016Z 78% [Working]
2025-06-05T23:22:42.5369220Z              
2025-06-05T23:22:42.5369679Z Get:146 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsereal-encoder-perl amd64 4.023+ds-1 [104 kB]
2025-06-05T23:22:42.5370156Z 
2025-06-05T23:22:42.5370285Z 78% [146 libsereal-encoder-perl 13.9 kB/104 kB 13%]
2025-06-05T23:22:42.5370607Z                                                    
2025-06-05T23:22:42.5370896Z 79% [Working]
2025-06-05T23:22:42.5371085Z              
2025-06-05T23:22:42.5371541Z Get:147 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsort-versions-perl all 1.62-1 [9294 B]
2025-06-05T23:22:42.5371980Z 
2025-06-05T23:22:42.5372118Z 79% [147 libsort-versions-perl 8192 B/9294 B 88%]
2025-06-05T23:22:42.5372439Z                                                  
2025-06-05T23:22:42.5372729Z 79% [Working]
2025-06-05T23:22:42.5372917Z              
2025-06-05T23:22:42.5373496Z Get:148 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxs-parse-keyword-perl amd64 0.21-1build1 [51.0 kB]
2025-06-05T23:22:42.5373981Z 
2025-06-05T23:22:42.5374139Z 79% [148 libxs-parse-keyword-perl 30.8 kB/51.0 kB 60%]
2025-06-05T23:22:42.5374476Z                                                       
2025-06-05T23:22:42.5374764Z 79% [Working]
2025-06-05T23:22:42.5374951Z              
2025-06-05T23:22:42.5375458Z Get:149 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsyntax-keyword-try-perl amd64 0.26-1build1 [27.1 kB]
2025-06-05T23:22:42.5375953Z 
2025-06-05T23:22:42.5376103Z 79% [149 libsyntax-keyword-try-perl 4096 B/27.1 kB 15%]
2025-06-05T23:22:42.5376629Z                                                        
2025-06-05T23:22:42.5376903Z 79% [Working]
2025-06-05T23:22:42.5377107Z              
2025-06-05T23:22:42.5377587Z Get:150 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libtbbmalloc2 amd64 2021.5.0-7ubuntu2 [49.6 kB]
2025-06-05T23:22:42.5378059Z 
2025-06-05T23:22:42.5378166Z 79% [150 libtbbmalloc2 17.7 kB/49.6 kB 36%]
2025-06-05T23:22:42.5378469Z                                            
2025-06-05T23:22:42.5378735Z 79% [Working]
2025-06-05T23:22:42.5378937Z              
2025-06-05T23:22:42.5379377Z Get:151 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libtbb12 amd64 2021.5.0-7ubuntu2 [84.8 kB]
2025-06-05T23:22:42.5379837Z 
2025-06-05T23:22:42.5379932Z 79% [151 libtbb12 33.4 kB/84.8 kB 39%]
2025-06-05T23:22:42.5380215Z                                       
2025-06-05T23:22:42.5380466Z 79% [Working]
2025-06-05T23:22:42.5380664Z              
2025-06-05T23:22:42.5381202Z Get:152 http://archive.ubuntu.com/ubuntu jammy/main amd64 libterm-readkey-perl amd64 2.38-1build4 [25.2 kB]
2025-06-05T23:22:42.5381682Z 
2025-06-05T23:22:42.5381806Z 79% [152 libterm-readkey-perl 13.8 kB/25.2 kB 55%]
2025-06-05T23:22:42.5382126Z                                                   
2025-06-05T23:22:42.5382413Z 80% [Working]
2025-06-05T23:22:42.5382598Z              
2025-06-05T23:22:42.5383103Z Get:153 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtext-levenshteinxs-perl amd64 0.03-4build10 [8254 B]
2025-06-05T23:22:42.5383597Z 
2025-06-05T23:22:42.5383760Z 80% [153 libtext-levenshteinxs-perl 8254 B/8254 B 100%]
2025-06-05T23:22:42.5384101Z                                                        
2025-06-05T23:22:42.5384405Z 80% [Waiting for headers]
2025-06-05T23:22:42.5384640Z                          
2025-06-05T23:22:42.5385194Z Get:154 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtext-markdown-discount-perl amd64 0.13-1build1 [12.9 kB]
2025-06-05T23:22:42.5385708Z 
2025-06-05T23:22:42.5385896Z 80% [154 libtext-markdown-discount-perl 12.9 kB/12.9 kB 100%]
2025-06-05T23:22:42.5386268Z                                                              
2025-06-05T23:22:42.5386569Z 80% [Working]
2025-06-05T23:22:42.5386756Z              
2025-06-05T23:22:42.5387224Z Get:155 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtext-xslate-perl amd64 3.5.9-1build1 [186 kB]
2025-06-05T23:22:42.5387682Z 
2025-06-05T23:22:42.5387801Z 80% [155 libtext-xslate-perl 32.1 kB/186 kB 17%]
2025-06-05T23:22:42.5388125Z                                                 
2025-06-05T23:22:42.5388396Z 80% [Working]
2025-06-05T23:22:42.5388598Z              
2025-06-05T23:22:42.5389045Z Get:156 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtime-duration-perl all 1.21-1 [13.1 kB]
2025-06-05T23:22:42.5389544Z 
2025-06-05T23:22:42.5389733Z 80% [156 libtime-duration-perl 9936 B/13.1 kB 76%]
2025-06-05T23:22:42.5390291Z                                                   
2025-06-05T23:22:42.5390747Z 80% [Working]
2025-06-05T23:22:42.5391064Z              
2025-06-05T23:22:42.5391833Z Get:157 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtime-moment-perl amd64 0.44-1build6 [74.9 kB]
2025-06-05T23:22:42.5392477Z 
2025-06-05T23:22:42.5392660Z 80% [157 libtime-moment-perl 16.4 kB/74.9 kB 22%]
2025-06-05T23:22:42.5392998Z                                                  
2025-06-05T23:22:42.5393303Z 80% [Working]
2025-06-05T23:22:42.5393615Z              
2025-06-05T23:22:42.5394350Z Get:158 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtimedate-perl all 2.3300-2 [34.0 kB]
2025-06-05T23:22:42.5395088Z 
2025-06-05T23:22:42.5395290Z 80% [158 libtimedate-perl 19.7 kB/34.0 kB 58%]
2025-06-05T23:22:42.5395687Z                                               
2025-06-05T23:22:42.5396031Z 81% [Working]
2025-06-05T23:22:42.5396219Z              
2025-06-05T23:22:42.5396701Z Get:159 http://archive.ubuntu.com/ubuntu jammy/main amd64 libunicode-utf8-perl amd64 0.62-1build4 [18.9 kB]
2025-06-05T23:22:42.5397692Z 
2025-06-05T23:22:42.5397922Z 81% [159 libunicode-utf8-perl 18.9 kB/18.9 kB 100%]
2025-06-05T23:22:42.5398443Z                                                    
2025-06-05T23:22:42.5398905Z 81% [Working]
2025-06-05T23:22:42.5399095Z              
2025-06-05T23:22:42.5399560Z Get:160 http://archive.ubuntu.com/ubuntu jammy/main amd64 liburi-perl all 5.10-1 [78.8 kB]
2025-06-05T23:22:42.5399979Z 
2025-06-05T23:22:42.5400119Z 81% [160 liburi-perl 31.8 kB/78.8 kB 40%]
2025-06-05T23:22:42.5400428Z                                          
2025-06-05T23:22:42.5400707Z 81% [Working]
2025-06-05T23:22:42.5400898Z              
2025-06-05T23:22:42.5401321Z Get:161 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libva2 amd64 2.14.0-1 [65.0 kB]
2025-06-05T23:22:42.5402051Z 
2025-06-05T23:22:42.5402202Z 81% [161 libva2 18.2 kB/65.0 kB 28%]
2025-06-05T23:22:42.5402650Z                                     
2025-06-05T23:22:42.5403069Z 81% [Working]
2025-06-05T23:22:42.5403366Z              
2025-06-05T23:22:42.5404009Z Get:162 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libva-drm2 amd64 2.14.0-1 [7502 B]
2025-06-05T23:22:42.5404508Z 
2025-06-05T23:22:42.5404610Z 81% [162 libva-drm2 7502 B/7502 B 100%]
2025-06-05T23:22:42.5404901Z                                        
2025-06-05T23:22:42.5405156Z 81% [Working]
2025-06-05T23:22:42.5405357Z              
2025-06-05T23:22:42.5405776Z Get:163 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libva-x11-2 amd64 2.14.0-1 [12.6 kB]
2025-06-05T23:22:42.5406208Z 
2025-06-05T23:22:42.5406308Z 81% [163 libva-x11-2 10.7 kB/12.6 kB 85%]
2025-06-05T23:22:42.5406592Z                                          
2025-06-05T23:22:42.5406865Z 81% [Working]
2025-06-05T23:22:42.5407051Z              
2025-06-05T23:22:42.5407478Z Get:164 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libva-glx2 amd64 2.14.0-1 [11.4 kB]
2025-06-05T23:22:42.5407899Z 
2025-06-05T23:22:42.5408013Z 81% [164 libva-glx2 11.4 kB/11.4 kB 100%]
2025-06-05T23:22:42.5408296Z                                          
2025-06-05T23:22:42.5408573Z 81% [Working]
2025-06-05T23:22:42.5408761Z              
2025-06-05T23:22:42.5409572Z Get:165 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libwayland-client0 amd64 1.20.0-1ubuntu0.1 [25.9 kB]
2025-06-05T23:22:42.5410454Z 
2025-06-05T23:22:42.5410655Z 81% [165 libwayland-client0 25.8 kB/25.9 kB 99%]
2025-06-05T23:22:42.5411048Z                                                 
2025-06-05T23:22:42.5411406Z 82% [Working]
2025-06-05T23:22:42.5411597Z              
2025-06-05T23:22:42.5412102Z Get:166 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libva-wayland2 amd64 2.14.0-1 [9784 B]
2025-06-05T23:22:42.5412546Z 
2025-06-05T23:22:42.5412652Z 82% [166 libva-wayland2 9784 B/9784 B 100%]
2025-06-05T23:22:42.5413036Z                                            
2025-06-05T23:22:42.5413303Z 82% [Working]
2025-06-05T23:22:42.5413507Z              
2025-06-05T23:22:42.5414030Z Get:167 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libwayland-server0 amd64 1.20.0-1ubuntu0.1 [34.3 kB]
2025-06-05T23:22:42.5414563Z 
2025-06-05T23:22:42.5414681Z 82% [167 libwayland-server0 15.4 kB/34.3 kB 45%]
2025-06-05T23:22:42.5415002Z                                                 
2025-06-05T23:22:42.5415276Z 82% [Working]
2025-06-05T23:22:42.5415479Z              
2025-06-05T23:22:42.5415982Z Get:168 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libwayland-cursor0 amd64 1.20.0-1ubuntu0.1 [10.7 kB]
2025-06-05T23:22:42.5416503Z 
2025-06-05T23:22:42.5416623Z 82% [168 libwayland-cursor0 10.7 kB/10.7 kB 100%]
2025-06-05T23:22:42.5416950Z                                                  
2025-06-05T23:22:42.5417223Z 82% [Working]
2025-06-05T23:22:42.5417423Z              
2025-06-05T23:22:42.5417907Z Get:169 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libwayland-egl1 amd64 1.20.0-1ubuntu0.1 [5582 B]
2025-06-05T23:22:42.5418420Z 
2025-06-05T23:22:42.5418527Z 82% [169 libwayland-egl1 5582 B/5582 B 100%]
2025-06-05T23:22:42.5418826Z                                             
2025-06-05T23:22:42.5419212Z 82% [Working]
2025-06-05T23:22:42.5419397Z              
2025-06-05T23:22:42.5419900Z Get:170 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libwayland-bin amd64 1.20.0-1ubuntu0.1 [20.4 kB]
2025-06-05T23:22:42.5420394Z 
2025-06-05T23:22:42.5420515Z 82% [170 libwayland-bin 16.4 kB/20.4 kB 80%]
2025-06-05T23:22:42.5420808Z                                             
2025-06-05T23:22:42.5421084Z 82% [Working]
2025-06-05T23:22:42.5421269Z              
2025-06-05T23:22:42.5421684Z Get:171 http://archive.ubuntu.com/ubuntu jammy/main amd64 libffi-dev amd64 3.4.2-4 [63.7 kB]
2025-06-05T23:22:42.5422082Z 
2025-06-05T23:22:42.5422180Z 82% [171 libffi-dev 8793 B/63.7 kB 14%]
2025-06-05T23:22:42.5422468Z                                        
2025-06-05T23:22:42.5422736Z 82% [Working]
2025-06-05T23:22:42.5422922Z              
2025-06-05T23:22:42.5423505Z Get:172 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libwayland-dev amd64 1.20.0-1ubuntu0.1 [69.5 kB]
2025-06-05T23:22:42.5424000Z 
2025-06-05T23:22:42.5424107Z 82% [172 libwayland-dev 10.3 kB/69.5 kB 15%]
2025-06-05T23:22:42.5424410Z                                             
2025-06-05T23:22:42.5424674Z 83% [Working]
2025-06-05T23:22:42.5424875Z              
2025-06-05T23:22:42.5425323Z Get:173 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libset-scalar-perl all 1.29-2 [27.9 kB]
2025-06-05T23:22:42.5425784Z 
2025-06-05T23:22:42.5425903Z 83% [173 libset-scalar-perl 6072 B/27.9 kB 22%]
2025-06-05T23:22:42.5426224Z                                                
2025-06-05T23:22:42.5426493Z 83% [Working]
2025-06-05T23:22:42.5426692Z              
2025-06-05T23:22:42.5427100Z Get:174 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libva-dev amd64 2.14.0-1 [115 kB]
2025-06-05T23:22:42.5427524Z 
2025-06-05T23:22:42.5427621Z 83% [174 libva-dev 43.4 kB/115 kB 38%]
2025-06-05T23:22:42.5427892Z                                       
2025-06-05T23:22:42.5428156Z 83% [Working]
2025-06-05T23:22:42.5428347Z              
2025-06-05T23:22:42.5429054Z Get:175 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxml-namespacesupport-perl all 1.12-1.1 [13.2 kB]
2025-06-05T23:22:42.5429541Z 
2025-06-05T23:22:42.5429705Z 83% [175 libxml-namespacesupport-perl 0 B/13.2 kB 0%]
2025-06-05T23:22:42.5430052Z                                                      
2025-06-05T23:22:42.5430342Z 83% [Working]
2025-06-05T23:22:42.5430536Z              
2025-06-05T23:22:42.5430984Z Get:176 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxml-sax-base-perl all 1.09-1.1 [19.0 kB]
2025-06-05T23:22:42.5431419Z 
2025-06-05T23:22:43.9603107Z 83% [176 libxml-sax-base-perl 19.0 kB/19.0 kB 100%]
2025-06-05T23:22:43.9603497Z                                                    
2025-06-05T23:22:43.9603795Z 83% [Working]
2025-06-05T23:22:43.9603999Z              
2025-06-05T23:22:43.9604579Z Get:177 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxml-sax-perl all 1.02+dfsg-3 [57.0 kB]
2025-06-05T23:22:43.9605060Z 
2025-06-05T23:22:43.9605174Z 83% [177 libxml-sax-perl 26.8 kB/57.0 kB 47%]
2025-06-05T23:22:43.9605487Z                                              
2025-06-05T23:22:43.9605753Z 83% [Working]
2025-06-05T23:22:43.9605950Z              
2025-06-05T23:22:43.9606458Z Get:178 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxml-libxml-perl amd64 2.0207+dfsg+really+2.0134-1 [325 kB]
2025-06-05T23:22:43.9606983Z 
2025-06-05T23:22:43.9607101Z 83% [178 libxml-libxml-perl 35.0 kB/325 kB 11%]
2025-06-05T23:22:43.9607419Z                                                
2025-06-05T23:22:43.9607700Z 84% [Waiting for headers]
2025-06-05T23:22:43.9607940Z                          
2025-06-05T23:22:43.9608443Z Get:179 http://archive.ubuntu.com/ubuntu jammy/main amd64 libyaml-libyaml-perl amd64 0.83+ds-1build1 [29.6 kB]
2025-06-05T23:22:43.9608933Z 
2025-06-05T23:22:43.9609059Z 84% [179 libyaml-libyaml-perl 29.6 kB/29.6 kB 100%]
2025-06-05T23:22:43.9609392Z                                                    
2025-06-05T23:22:43.9609869Z 84% [Working]
2025-06-05T23:22:43.9610070Z              
2025-06-05T23:22:43.9610525Z Get:180 http://archive.ubuntu.com/ubuntu jammy/main amd64 libdevel-size-perl amd64 0.83-1build4 [20.7 kB]
2025-06-05T23:22:43.9610980Z 
2025-06-05T23:22:43.9611116Z 84% [180 libdevel-size-perl 7442 B/20.7 kB 36%]
2025-06-05T23:22:43.9611497Z                                                
2025-06-05T23:22:43.9611830Z 84% [Working]
2025-06-05T23:22:43.9612014Z              
2025-06-05T23:22:43.9612584Z Get:181 http://archive.ubuntu.com/ubuntu jammy/main amd64 libipc-run3-perl all 0.048-2 [31.4 kB]
2025-06-05T23:22:43.9613117Z 
2025-06-05T23:22:43.9613248Z 84% [181 libipc-run3-perl 31.4 kB/31.4 kB 100%]
2025-06-05T23:22:43.9613553Z                                                
2025-06-05T23:22:43.9613834Z 84% [Working]
2025-06-05T23:22:43.9614019Z              
2025-06-05T23:22:43.9614396Z Get:182 http://archive.ubuntu.com/ubuntu jammy/main amd64 lzip amd64 1.23-1 [80.5 kB]
2025-06-05T23:22:43.9614767Z 
2025-06-05T23:22:43.9614991Z 84% [182 lzip 20.3 kB/80.5 kB 25%]
2025-06-05T23:22:43.9615262Z                                   
2025-06-05T23:22:43.9615505Z 84% [Working]
2025-06-05T23:22:43.9615706Z              
2025-06-05T23:22:43.9616106Z Get:183 http://archive.ubuntu.com/ubuntu jammy/main amd64 lzop amd64 1.04-2build2 [83.7 kB]
2025-06-05T23:22:43.9616500Z 
2025-06-05T23:22:43.9616594Z 84% [183 lzop 5070 B/83.7 kB 6%]
2025-06-05T23:22:43.9616859Z                                 
2025-06-05T23:22:43.9617102Z 85% [Working]
2025-06-05T23:22:43.9617287Z              
2025-06-05T23:22:43.9617715Z Get:184 http://archive.ubuntu.com/ubuntu jammy/main amd64 patchutils amd64 0.4.2-1build2 [77.8 kB]
2025-06-05T23:22:43.9618136Z 
2025-06-05T23:22:43.9618236Z 85% [184 patchutils 46.4 kB/77.8 kB 60%]
2025-06-05T23:22:43.9618532Z                                         
2025-06-05T23:22:43.9618788Z 85% [Working]
2025-06-05T23:22:43.9618988Z              
2025-06-05T23:22:43.9619402Z Get:185 http://archive.ubuntu.com/ubuntu jammy/main amd64 t1utils amd64 1.41-4build2 [61.3 kB]
2025-06-05T23:22:43.9619811Z 
2025-06-05T23:22:43.9619902Z 85% [185 t1utils 32.8 kB/61.3 kB 53%]
2025-06-05T23:22:43.9620180Z                                      
2025-06-05T23:22:43.9620430Z 85% [Working]
2025-06-05T23:22:43.9620627Z              
2025-06-05T23:22:43.9621074Z Get:186 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 lintian all 2.114.0ubuntu1.6 [1082 kB]
2025-06-05T23:22:43.9621538Z 
2025-06-05T23:22:43.9621629Z 85% [186 lintian 43.6 kB/1082 kB 4%]
2025-06-05T23:22:43.9621906Z                                     
2025-06-05T23:22:43.9622153Z 87% [Working]
2025-06-05T23:22:43.9622350Z              
2025-06-05T23:22:43.9622769Z Get:187 http://archive.ubuntu.com/ubuntu jammy/universe amd64 ninja-build amd64 1.10.1-1 [111 kB]
2025-06-05T23:22:43.9623190Z 
2025-06-05T23:22:43.9623299Z 87% [187 ninja-build 9745 B/111 kB 9%]
2025-06-05T23:22:43.9623570Z                                       
2025-06-05T23:22:43.9623838Z 87% [Working]
2025-06-05T23:22:43.9624030Z              
2025-06-05T23:22:43.9624451Z Get:188 http://archive.ubuntu.com/ubuntu jammy/universe amd64 patchelf amd64 0.14.3-1 [72.1 kB]
2025-06-05T23:22:43.9624864Z 
2025-06-05T23:22:43.9624975Z 87% [188 patchelf 29.2 kB/72.1 kB 40%]
2025-06-05T23:22:43.9625245Z                                       
2025-06-05T23:22:43.9625508Z 87% [Working]
2025-06-05T23:22:43.9625693Z              
2025-06-05T23:22:43.9626107Z Get:189 http://archive.ubuntu.com/ubuntu jammy/universe amd64 pkgconf amd64 1.8.0-1 [35.3 kB]
2025-06-05T23:22:43.9626512Z 
2025-06-05T23:22:43.9626606Z 87% [189 pkgconf 22.3 kB/35.3 kB 63%]
2025-06-05T23:22:43.9626885Z                                      
2025-06-05T23:22:43.9627136Z 87% [Working]
2025-06-05T23:22:43.9627333Z              
2025-06-05T23:22:43.9627754Z Get:190 http://archive.ubuntu.com/ubuntu jammy/universe amd64 pybind11-dev all 2.9.1-2 [146 kB]
2025-06-05T23:22:43.9628166Z 
2025-06-05T23:22:43.9628267Z 87% [190 pybind11-dev 45.1 kB/146 kB 31%]
2025-06-05T23:22:43.9628946Z                                          
2025-06-05T23:22:43.9629216Z 87% [Working]
2025-06-05T23:22:43.9629422Z              
2025-06-05T23:22:43.9629897Z Get:191 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 python3-lib2to3 all 3.10.8-1~22.04 [77.6 kB]
2025-06-05T23:22:43.9630389Z 
2025-06-05T23:22:43.9630500Z 88% [191 python3-lib2to3 36.8 kB/77.6 kB 47%]
2025-06-05T23:22:43.9630817Z                                              
2025-06-05T23:22:43.9631085Z 88% [Working]
2025-06-05T23:22:43.9631292Z              
2025-06-05T23:22:43.9631767Z Get:192 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 python3-distutils all 3.10.8-1~22.04 [139 kB]
2025-06-05T23:22:43.9632267Z 
2025-06-05T23:22:43.9632382Z 88% [192 python3-distutils 24.4 kB/139 kB 18%]
2025-06-05T23:22:43.9632687Z                                               
2025-06-05T23:22:43.9632972Z 88% [Working]
2025-06-05T23:22:43.9633178Z              
2025-06-05T23:22:43.9633718Z Get:193 http://archive.ubuntu.com/ubuntu jammy/universe amd64 python3-enchant all 3.2.0-1 [33.8 kB]
2025-06-05T23:22:43.9634157Z 
2025-06-05T23:22:43.9634283Z 88% [193 python3-enchant 16.3 kB/33.8 kB 48%]
2025-06-05T23:22:43.9634580Z                                              
2025-06-05T23:22:43.9634860Z 88% [Working]
2025-06-05T23:22:43.9635045Z              
2025-06-05T23:22:43.9635594Z Get:194 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 python3-setuptools all 59.6.0-1.2ubuntu0.22.04.3 [340 kB]
2025-06-05T23:22:43.9636132Z 
2025-06-05T23:22:43.9636264Z 88% [194 python3-setuptools 47.8 kB/340 kB 14%]
2025-06-05T23:22:43.9636573Z                                                
2025-06-05T23:22:43.9636851Z 89% [Working]
2025-06-05T23:22:43.9637033Z              
2025-06-05T23:22:43.9637563Z Get:195 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 python3-wheel all 0.37.1-2ubuntu0.22.04.1 [32.0 kB]
2025-06-05T23:22:43.9638087Z 
2025-06-05T23:22:43.9638189Z 89% [195 python3-wheel 31.6 kB/32.0 kB 99%]
2025-06-05T23:22:43.9638493Z                                            
2025-06-05T23:22:43.9638752Z 89% [Working]
2025-06-05T23:22:43.9638947Z              
2025-06-05T23:22:43.9639469Z Get:196 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 python3-pip all 22.0.2+dfsg-1ubuntu0.5 [1306 kB]
2025-06-05T23:22:43.9639988Z 
2025-06-05T23:22:43.9640089Z 89% [196 python3-pip 4096 B/1306 kB 0%]
2025-06-05T23:22:43.9640377Z                                        
2025-06-05T23:22:43.9640630Z 91% [Working]
2025-06-05T23:22:43.9640824Z              
2025-06-05T23:22:43.9641355Z Get:197 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 python3-pip-whl all 22.0.2+dfsg-1ubuntu0.5 [1680 kB]
2025-06-05T23:22:43.9641904Z 
2025-06-05T23:22:43.9642016Z 91% [197 python3-pip-whl 32.8 kB/1680 kB 2%]
2025-06-05T23:22:43.9642324Z                                             
2025-06-05T23:22:43.9642586Z 93% [Working]
2025-06-05T23:22:43.9642784Z              
2025-06-05T23:22:43.9643359Z Get:198 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 python3-setuptools-whl all 59.6.0-1.2ubuntu0.22.04.3 [789 kB]
2025-06-05T23:22:43.9643951Z 
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2025-06-05T23:22:43.9644394Z                                                  
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2025-06-05T23:22:43.9644931Z                          
2025-06-05T23:22:43.9645471Z Get:199 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 python3.10-venv amd64 3.10.12-1~22.04.9 [5722 B]
2025-06-05T23:22:43.9645980Z 
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2025-06-05T23:22:43.9646388Z                                             
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2025-06-05T23:22:43.9646848Z              
2025-06-05T23:22:43.9647350Z Get:200 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 python3-venv amd64 3.10.6-1~22.04.1 [1042 B]
2025-06-05T23:22:43.9647844Z 
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2025-06-05T23:22:43.9648344Z                                          
2025-06-05T23:22:43.9648625Z 94% [Working]
2025-06-05T23:22:43.9648815Z              
2025-06-05T23:22:43.9649274Z Get:201 http://archive.ubuntu.com/ubuntu jammy/universe amd64 rapidjson-dev all 1.1.0+dfsg2-7 [95.0 kB]
2025-06-05T23:22:43.9649723Z 
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2025-06-05T23:22:43.9650135Z                                            
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2025-06-05T23:22:43.9651003Z Get:202 http://archive.ubuntu.com/ubuntu jammy/universe amd64 scons all 4.0.1+dfsg-2 [469 kB]
2025-06-05T23:22:43.9651408Z 
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2025-06-05T23:22:43.9651761Z                                  
2025-06-05T23:22:43.9651998Z 95% [Working]
2025-06-05T23:22:43.9652193Z              
2025-06-05T23:22:43.9652690Z Get:203 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsnappy1v5 amd64 1.1.8-1build3 [17.5 kB]
2025-06-05T23:22:43.9653223Z 
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2025-06-05T23:22:43.9653629Z                                          
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2025-06-05T23:22:43.9654092Z              
2025-06-05T23:22:43.9654522Z Get:204 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsnappy-dev amd64 1.1.8-1build3 [30.2 kB]
2025-06-05T23:22:43.9654952Z 
2025-06-05T23:22:43.9655068Z 96% [204 libsnappy-dev 2606 B/30.2 kB 9%]
2025-06-05T23:22:43.9655354Z                                          
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2025-06-05T23:22:43.9655865Z                          
2025-06-05T23:22:43.9656354Z Get:205 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libtbb-dev amd64 2021.5.0-7ubuntu2 [191 kB]
2025-06-05T23:22:43.9656804Z 
2025-06-05T23:22:43.9656911Z 96% [205 libtbb-dev 1094 B/191 kB 1%]
2025-06-05T23:22:43.9657181Z                                      
2025-06-05T23:22:43.9657456Z 96% [Waiting for headers]
2025-06-05T23:22:43.9657682Z                          
2025-06-05T23:22:43.9658175Z Get:206 http://archive.ubuntu.com/ubuntu jammy/universe amd64 ocl-icd-libopencl1 amd64 2.2.14-3 [39.1 kB]
2025-06-05T23:22:43.9658629Z 
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2025-06-05T23:22:43.9659055Z                                               
2025-06-05T23:22:43.9659332Z 96% [Working]
2025-06-05T23:22:43.9659518Z              
2025-06-05T23:22:43.9659999Z Get:207 http://archive.ubuntu.com/ubuntu jammy/universe amd64 opencl-c-headers all 3.0~2022.01.04-1 [44.5 kB]
2025-06-05T23:22:43.9660473Z 
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2025-06-05T23:22:43.9660881Z                                            
2025-06-05T23:22:43.9661158Z 96% [Waiting for headers]
2025-06-05T23:22:43.9661401Z                          
2025-06-05T23:22:43.9661935Z Get:208 http://archive.ubuntu.com/ubuntu jammy/universe amd64 opencl-clhpp-headers all 3.0~2.0.15-1ubuntu1 [42.6 kB]
2025-06-05T23:22:43.9662456Z 
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2025-06-05T23:22:43.9662903Z                                                 
2025-06-05T23:22:43.9663186Z 96% [Waiting for headers]
2025-06-05T23:22:43.9663424Z                          
2025-06-05T23:22:43.9663909Z Get:209 http://archive.ubuntu.com/ubuntu jammy/universe amd64 opencl-headers all 3.0~2022.01.04-1 [1754 B]
2025-06-05T23:22:43.9664376Z 
2025-06-05T23:22:43.9664463Z 97% [Waiting for headers]
2025-06-05T23:22:43.9664691Z                          
2025-06-05T23:22:43.9665181Z Get:210 http://archive.ubuntu.com/ubuntu jammy/universe amd64 ocl-icd-opencl-dev amd64 2.2.14-3 [2426 B]
2025-06-05T23:22:43.9665636Z 
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2025-06-05T23:22:43.9666067Z                                                
2025-06-05T23:22:43.9666349Z 97% [Working]
2025-06-05T23:22:43.9666611Z              
2025-06-05T23:22:43.9667043Z Get:211 http://archive.ubuntu.com/ubuntu jammy/universe amd64 shellcheck amd64 0.8.0-2 [2359 kB]
2025-06-05T23:22:43.9667462Z 
2025-06-05T23:22:43.9667561Z 97% [211 shellcheck 1358 B/2359 kB 0%]
2025-06-05T23:22:43.9667850Z                                       
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2025-06-05T23:22:43.9669475Z Selecting previously unselected package python3.10-minimal.
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2025-06-05T23:22:46.5217367Z Preparing to unpack .../python3.10-minimal_3.10.12-1~22.04.9_amd64.deb ...
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2025-06-05T23:22:46.5218220Z Setting up python3.10-minimal (3.10.12-1~22.04.9) ...
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2025-06-05T23:22:46.5224738Z Preparing to unpack .../python3-minimal_3.10.6-1~22.04.1_amd64.deb ...
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2025-06-05T23:22:46.5225558Z Selecting previously unselected package python3.10.
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2025-06-05T23:22:46.5240350Z Selecting previously unselected package bsdextrautils.
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2025-06-05T23:22:46.5241690Z Selecting previously unselected package libmagic-mgc.
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2025-06-05T23:22:46.5245584Z Selecting previously unselected package gettext-base.
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2025-06-05T23:22:46.5246861Z Selecting previously unselected package libuchardet0:amd64.
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2025-06-05T23:22:46.5248331Z Selecting previously unselected package groff-base.
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2025-06-05T23:22:46.5249575Z Selecting previously unselected package libpipeline1:amd64.
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2025-06-05T23:22:46.5250811Z Selecting previously unselected package libuv1:amd64.
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2025-06-05T23:22:46.5252008Z Selecting previously unselected package man-db.
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2025-06-05T23:22:46.5253262Z Selecting previously unselected package libhiredis0.14:amd64.
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2025-06-05T23:22:46.5254518Z Selecting previously unselected package ccache.
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2025-06-05T23:22:46.5255604Z Selecting previously unselected package libarchive13:amd64.
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2025-06-05T23:22:46.5256970Z Selecting previously unselected package libjsoncpp25:amd64.
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2025-06-05T23:22:46.5258212Z Selecting previously unselected package librhash0:amd64.
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2025-06-05T23:22:46.5259471Z Selecting previously unselected package dh-elpa-helper.
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2025-06-05T23:22:46.5260735Z Selecting previously unselected package emacsen-common.
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2025-06-05T23:22:46.5261899Z Selecting previously unselected package cmake-data.
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2025-06-05T23:22:46.5264489Z Selecting previously unselected package dictionaries-common.
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2025-06-05T23:22:46.5265691Z Adding 'diversion of /usr/share/dict/words to /usr/share/dict/words.pre-dictionaries-common by dictionaries-common'
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2025-06-05T23:22:46.5266708Z Selecting previously unselected package diffstat.
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2025-06-05T23:22:46.5267883Z Selecting previously unselected package libpcre2-32-0:amd64.
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2025-06-05T23:22:46.5269275Z Selecting previously unselected package fdupes.
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2025-06-05T23:22:46.5270442Z Selecting previously unselected package libc6-i386.
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2025-06-05T23:22:46.5272950Z Selecting previously unselected package libc6-x32.
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2025-06-05T23:22:46.5275501Z Selecting previously unselected package lib32gcc-s1.
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2025-06-05T23:22:46.5276802Z Selecting previously unselected package libx32gcc-s1.
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2025-06-05T23:22:47.9556859Z Selecting previously unselected package lib32gomp1.
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2025-06-05T23:22:47.9559529Z Selecting previously unselected package lib32itm1.
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2025-06-05T23:22:47.9562053Z Selecting previously unselected package lib32atomic1.
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2025-06-05T23:22:47.9564711Z Selecting previously unselected package lib32asan6.
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2025-06-05T23:22:47.9567275Z Selecting previously unselected package lib32stdc++6.
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2025-06-05T23:22:47.9568814Z Selecting previously unselected package lib32ubsan1.
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2025-06-05T23:22:47.9573060Z Selecting previously unselected package lib32quadmath0.
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2025-06-05T23:22:47.9575847Z Selecting previously unselected package lib32gcc-11-dev.
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2025-06-05T23:22:47.9578661Z Selecting previously unselected package gcc-11-multilib.
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2025-06-05T23:22:47.9583045Z Selecting previously unselected package g++-11-multilib.
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2025-06-05T23:22:47.9584401Z Selecting previously unselected package gcc-multilib.
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2025-06-05T23:22:47.9586955Z Selecting previously unselected package gettext.
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2025-06-05T23:22:47.9588129Z Selecting previously unselected package hunspell-en-us.
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2025-06-05T23:22:47.9589499Z Selecting previously unselected package intltool-debian.
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2025-06-05T23:22:47.9590842Z Selecting previously unselected package libaliased-perl.
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2025-06-05T23:22:47.9595222Z Selecting previously unselected package libaspell15:amd64.
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2025-06-05T23:22:47.9596585Z Selecting previously unselected package libb-hooks-op-check-perl.
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2025-06-05T23:22:47.9598232Z Selecting previously unselected package libdynaloader-functions-perl.
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2025-06-05T23:22:47.9601399Z Selecting previously unselected package libparams-classify-perl.
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2025-06-05T23:22:47.9602927Z Selecting previously unselected package libmodule-runtime-perl.
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2025-06-05T23:22:47.9604321Z Selecting previously unselected package libtry-tiny-perl.
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2025-06-05T23:22:47.9609229Z Selecting previously unselected package libvariable-magic-perl.
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2025-06-05T23:22:47.9610752Z Selecting previously unselected package libb-hooks-endofscope-perl.
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2025-06-05T23:22:47.9612337Z Selecting previously unselected package libcapture-tiny-perl.
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2025-06-05T23:22:47.9613786Z Selecting previously unselected package libclass-data-inheritable-perl.
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2025-06-05T23:22:47.9615385Z Selecting previously unselected package libclass-method-modifiers-perl.
2025-06-05T23:22:47.9615971Z Preparing to unpack .../074-libclass-method-modifiers-perl_2.13-1_all.deb ...
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2025-06-05T23:22:47.9617020Z Selecting previously unselected package libclass-xsaccessor-perl.
2025-06-05T23:22:47.9617564Z Preparing to unpack .../075-libclass-xsaccessor-perl_1.19-3build9_amd64.deb ...
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2025-06-05T23:22:47.9618493Z Selecting previously unselected package libclone-perl.
2025-06-05T23:22:49.5412859Z Preparing to unpack .../076-libclone-perl_0.45-1build3_amd64.deb ...
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2025-06-05T23:22:49.5413977Z Selecting previously unselected package libconfig-tiny-perl.
2025-06-05T23:22:49.5414583Z Preparing to unpack .../077-libconfig-tiny-perl_2.28-1_all.deb ...
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2025-06-05T23:22:49.5415579Z Selecting previously unselected package libparams-util-perl.
2025-06-05T23:22:49.5416582Z Preparing to unpack .../078-libparams-util-perl_1.102-1build3_amd64.deb ...
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2025-06-05T23:22:49.5417533Z Selecting previously unselected package libsub-install-perl.
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2025-06-05T23:22:49.5418868Z Selecting previously unselected package libdata-optlist-perl.
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2025-06-05T23:22:49.5420216Z Selecting previously unselected package libsub-exporter-perl.
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2025-06-05T23:22:49.5421563Z Selecting previously unselected package libconst-fast-perl.
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2025-06-05T23:22:49.5422941Z Selecting previously unselected package libcpanel-json-xs-perl:amd64.
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2025-06-05T23:22:49.5424597Z Selecting previously unselected package libdevel-stacktrace-perl.
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2025-06-05T23:22:49.5426044Z Selecting previously unselected package libexception-class-perl.
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2025-06-05T23:22:49.5427436Z Selecting previously unselected package libiterator-perl.
2025-06-05T23:22:49.5428153Z Preparing to unpack .../086-libiterator-perl_0.03+ds1-1.1_all.deb ...
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2025-06-05T23:22:49.5429225Z Selecting previously unselected package libiterator-util-perl.
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2025-06-05T23:22:49.5430666Z Selecting previously unselected package libexporter-tiny-perl.
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2025-06-05T23:22:49.5432100Z Selecting previously unselected package liblist-moreutils-xs-perl.
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2025-06-05T23:22:49.5435155Z Selecting previously unselected package libdata-dpath-perl.
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2025-06-05T23:22:49.5436484Z Selecting previously unselected package libdata-messagepack-perl.
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2025-06-05T23:22:49.5438001Z Selecting previously unselected package libnet-domain-tld-perl.
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2025-06-05T23:22:49.5446926Z Selecting previously unselected package libdata-validate-domain-perl.
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2025-06-05T23:22:49.5449093Z Selecting previously unselected package libnet-ipv6addr-perl.
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2025-06-05T23:22:49.5450438Z Selecting previously unselected package libnet-netmask-perl.
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2025-06-05T23:22:49.5452326Z Preparing to unpack .../097-libnetaddr-ip-perl_4.079+dfsg-1build7_amd64.deb ...
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2025-06-05T23:22:49.5453385Z Selecting previously unselected package libdata-validate-ip-perl.
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2025-06-05T23:22:49.5456308Z Selecting previously unselected package libemail-address-xs-perl.
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2025-06-05T23:22:49.5457842Z Selecting previously unselected package libhunspell-1.7-0:amd64.
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2025-06-05T23:22:49.5459445Z Selecting previously unselected package libenchant-2-2:amd64.
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2025-06-05T23:22:49.5460820Z Selecting previously unselected package libexpat1-dev:amd64.
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2025-06-05T23:22:49.5462244Z Selecting previously unselected package libipc-system-simple-perl.
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2025-06-05T23:22:49.5463747Z Selecting previously unselected package libfile-basedir-perl.
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2025-06-05T23:22:49.5465094Z Selecting previously unselected package libnumber-compare-perl.
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2025-06-05T23:22:49.5469142Z Selecting previously unselected package libio-string-perl.
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2025-06-05T23:22:49.5470426Z Selecting previously unselected package libfont-ttf-perl.
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2025-06-05T23:22:49.5471744Z Selecting previously unselected package libhtml-html5-entities-perl.
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2025-06-05T23:22:49.5473250Z Selecting previously unselected package libimport-into-perl.
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2025-06-05T23:22:49.5477429Z Selecting previously unselected package libjson-maybexs-perl.
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2025-06-05T23:22:49.5478816Z Selecting previously unselected package liblist-compare-perl.
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2025-06-05T23:22:49.5480250Z Selecting previously unselected package liblist-someutils-perl.
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2025-06-05T23:22:49.5481623Z Selecting previously unselected package liblist-utilsby-perl.
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2025-06-05T23:22:49.5482940Z Selecting previously unselected package liblzo2-2:amd64.
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2025-06-05T23:22:49.5484400Z Selecting previously unselected package libmarkdown2:amd64.
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2025-06-05T23:22:51.2191082Z Selecting previously unselected package librole-tiny-perl.
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2025-06-05T23:22:51.2192675Z Selecting previously unselected package libsub-quote-perl.
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2025-06-05T23:22:51.2193955Z Selecting previously unselected package libmoo-perl.
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2025-06-05T23:22:51.2195174Z Selecting previously unselected package libstrictures-perl.
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2025-06-05T23:22:51.2196573Z Selecting previously unselected package libmoox-aliases-perl.
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2025-06-05T23:22:51.2197955Z Selecting previously unselected package libmouse-perl.
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2025-06-05T23:22:51.2199256Z Selecting previously unselected package libpackage-stash-perl.
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2025-06-05T23:22:51.2200616Z Selecting previously unselected package libsub-identify-perl.
2025-06-05T23:22:51.2201152Z Preparing to unpack .../128-libsub-identify-perl_0.14-1build5_amd64.deb ...
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2025-06-05T23:22:51.2202040Z Selecting previously unselected package libsub-name-perl.
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2025-06-05T23:22:51.2203388Z Selecting previously unselected package libnamespace-clean-perl.
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2025-06-05T23:22:51.2204781Z Selecting previously unselected package libpath-tiny-perl.
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2025-06-05T23:22:51.2206080Z Selecting previously unselected package libperlio-gzip-perl.
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2025-06-05T23:22:51.2207740Z Selecting previously unselected package libperlio-utf8-strict-perl.
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2025-06-05T23:22:51.2209354Z Selecting previously unselected package libpkgconf3:amd64.
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2025-06-05T23:22:51.2210666Z Selecting previously unselected package libproc-processtable-perl:amd64.
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2025-06-05T23:22:51.2212408Z Selecting previously unselected package libpugixml1v5:amd64.
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2025-06-05T23:22:51.2213795Z Selecting previously unselected package libpugixml-dev:amd64.
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2025-06-05T23:22:51.2215114Z Selecting previously unselected package libpython3.10-dev:amd64.
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2025-06-05T23:22:51.2218013Z Selecting previously unselected package libsereal-decoder-perl.
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2025-06-05T23:22:51.2246529Z Selecting previously unselected package libwayland-client0:amd64.
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2025-06-05T23:22:51.2249353Z Selecting previously unselected package libwayland-server0:amd64.
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2025-06-05T23:22:54.1882438Z Selecting previously unselected package libset-scalar-perl.
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2025-06-05T23:22:54.1901682Z Selecting previously unselected package lintian.
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2025-06-05T23:22:54.1906486Z Adding 'diversion of /usr/bin/pkg-config to /usr/bin/pkg-config.real by pkgconf'
2025-06-05T23:22:54.1907146Z Adding 'diversion of /usr/share/aclocal/pkg.m4 to /usr/share/aclocal/pkg.real.m4 by pkgconf'
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2025-06-05T23:22:54.1909004Z Adding 'diversion of /usr/share/pkg-config-crosswrapper to /usr/share/pkg-config-crosswrapper.real by pkgconf'
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2025-06-05T23:22:54.1909981Z Selecting previously unselected package pybind11-dev.
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2025-06-05T23:22:54.1925878Z Selecting previously unselected package rapidjson-dev.
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2025-06-05T23:22:54.1928211Z Selecting previously unselected package libsnappy1v5:amd64.
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2025-06-05T23:22:54.1932496Z Selecting previously unselected package ocl-icd-libopencl1:amd64.
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2025-06-05T23:22:54.1935517Z Selecting previously unselected package opencl-clhpp-headers.
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2025-06-05T23:22:54.1938323Z Selecting previously unselected package ocl-icd-opencl-dev:amd64.
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2025-06-05T23:22:54.1939657Z Selecting previously unselected package shellcheck.
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2025-06-05T23:22:58.5128031Z debconf: unable to initialize frontend: Dialog
2025-06-05T23:22:58.5128994Z debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 78.)
2025-06-05T23:22:58.5129741Z debconf: falling back to frontend: Readline
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2025-06-05T23:22:58.5133229Z Setting up python3 (3.10.6-1~22.04.1) ...
2025-06-05T23:22:58.5133575Z running python rtupdate hooks for python3.10...
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2025-06-05T23:23:05.8114297Z update-perl-sax-parsers: Registering Perl SAX parser XML::SAX::PurePerl with priority 10...
2025-06-05T23:23:05.8115538Z update-perl-sax-parsers: Updating overall Perl SAX parser modules info file...
2025-06-05T23:23:05.8116434Z debconf: unable to initialize frontend: Dialog
2025-06-05T23:23:05.8117754Z debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 78.)
2025-06-05T23:23:05.8119051Z debconf: falling back to frontend: Readline
2025-06-05T23:23:05.8119441Z 
2025-06-05T23:23:05.8119847Z Creating config file /etc/perl/XML/SAX/ParserDetails.ini with new version
2025-06-05T23:23:05.8120626Z Setting up pkgconf (1.8.0-1) ...
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2025-06-05T23:23:05.8122621Z Setting up libdata-validate-uri-perl (0.07-2) ...
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2025-06-05T23:23:05.8125928Z Setting up opencl-clhpp-headers (3.0~2.0.15-1ubuntu1) ...
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2025-06-05T23:23:05.8127281Z Setting up ocl-icd-opencl-dev:amd64 (2.2.14-3) ...
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2025-06-05T23:23:05.8128515Z Setting up libva-wayland2:amd64 (2.14.0-1) ...
2025-06-05T23:23:05.8129426Z Setting up libxml-libxml-perl (2.0207+dfsg+really+2.0134-1) ...
2025-06-05T23:23:05.8130581Z update-perl-sax-parsers: Registering Perl SAX parser XML::LibXML::SAX::Parser with priority 50...
2025-06-05T23:23:05.8131843Z update-perl-sax-parsers: Registering Perl SAX parser XML::LibXML::SAX with priority 50...
2025-06-05T23:23:05.8133062Z update-perl-sax-parsers: Updating overall Perl SAX parser modules info file...
2025-06-05T23:23:05.8133888Z debconf: unable to initialize frontend: Dialog
2025-06-05T23:23:05.8135116Z debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 78.)
2025-06-05T23:23:05.8136347Z debconf: falling back to frontend: Readline
2025-06-05T23:23:05.8137087Z Replacing config file /etc/perl/XML/SAX/ParserDetails.ini with new version
2025-06-05T23:23:05.8137839Z Setting up groff-base (1.22.4-8build1) ...
2025-06-05T23:23:05.8138458Z Setting up libwayland-cursor0:amd64 (1.20.0-1ubuntu0.1) ...
2025-06-05T23:23:05.8139138Z Setting up lib32quadmath0 (12.3.0-1ubuntu1~22.04) ...
2025-06-05T23:23:05.8139736Z Setting up hunspell-en-us (1:2020.12.07-2) ...
2025-06-05T23:23:05.8140289Z Setting up cmake (3.22.1-1ubuntu1.22.04.2) ...
2025-06-05T23:23:05.8140856Z Setting up python3-lib2to3 (3.10.8-1~22.04) ...
2025-06-05T23:23:05.8141769Z Setting up libsub-exporter-perl (0.988-1) ...
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2025-06-05T23:23:05.8142997Z Setting up python3-pkg-resources (59.6.0-1.2ubuntu0.22.04.3) ...
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2025-06-05T23:23:05.8144392Z Setting up libiterator-perl (0.03+ds1-1.1) ...
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2025-06-05T23:23:05.8149670Z debconf: unable to initialize frontend: Dialog
2025-06-05T23:23:05.8151007Z debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 78.)
2025-06-05T23:23:05.8152295Z debconf: falling back to frontend: Readline
2025-06-05T23:23:05.8152864Z Building database of manual pages ...
2025-06-05T23:23:05.8153413Z Setting up lib32ubsan1 (12.3.0-1ubuntu1~22.04) ...
2025-06-05T23:23:05.8154073Z Setting up libwayland-dev:amd64 (1.20.0-1ubuntu0.1) ...
2025-06-05T23:23:05.8154732Z Setting up opencl-headers (3.0~2022.01.04-1) ...
2025-06-05T23:23:05.8155349Z Setting up python3-wheel (0.37.1-2ubuntu0.22.04.1) ...
2025-06-05T23:23:05.8155958Z Setting up libva-dev:amd64 (2.14.0-1) ...
2025-06-05T23:23:05.8156575Z Setting up libx32gcc-11-dev (11.4.0-1ubuntu1~22.04) ...
2025-06-05T23:23:05.8157227Z Setting up python3-venv (3.10.6-1~22.04.1) ...
2025-06-05T23:23:05.8157772Z Setting up python3-enchant (3.2.0-1) ...
2025-06-05T23:23:05.8158392Z Setting up libmodule-runtime-perl (0.016-1) ...
2025-06-05T23:23:05.8158975Z Setting up scons (4.0.1+dfsg-2) ...
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2025-06-05T23:23:05.8160209Z Setting up python3-pip (22.0.2+dfsg-1ubuntu0.5) ...
2025-06-05T23:23:05.8160851Z Setting up libconst-fast-perl (0.014-1.1) ...
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2025-06-05T23:23:05.8167171Z Setting up gcc-11-multilib (11.4.0-1ubuntu1~22.04) ...
2025-06-05T23:23:05.8167848Z Setting up libb-hooks-endofscope-perl (0.25-1) ...
2025-06-05T23:23:05.8168466Z Setting up gcc-multilib (4:11.2.0-1ubuntu1) ...
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2025-06-05T23:23:05.8169673Z Setting up g++-multilib (4:11.2.0-1ubuntu1) ...
2025-06-05T23:23:05.8170242Z Setting up libnamespace-clean-perl (0.27-1) ...
2025-06-05T23:23:05.8170801Z Setting up lintian (2.114.0ubuntu1.6) ...
2025-06-05T23:23:05.8171364Z Processing triggers for libc-bin (2.35-0ubuntu3.10) ...
2025-06-05T23:23:05.8172052Z Processing triggers for dictionaries-common (1.28.14) ...
2025-06-05T23:23:05.8172684Z debconf: unable to initialize frontend: Dialog
2025-06-05T23:23:05.8173949Z debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 78.)
2025-06-05T23:23:05.8175316Z debconf: falling back to frontend: Readline
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2025-06-05T23:23:05.8196865Z The following packages were automatically installed and are no longer required:
2025-06-05T23:23:05.8197616Z   libssh2-1 libstd-rust-1.75 libstd-rust-dev
2025-06-05T23:23:05.8198149Z Use 'sudo apt autoremove' to remove them.
2025-06-05T23:23:05.8198720Z The following additional packages will be installed:
2025-06-05T23:23:05.8199456Z   flatbuffers-compiler flatbuffers-compiler-dev libflatbuffers1
2025-06-05T23:23:05.8200102Z The following NEW packages will be installed:
2025-06-05T23:23:05.8200795Z   flatbuffers-compiler flatbuffers-compiler-dev libflatbuffers-dev
2025-06-05T23:23:05.8201415Z   libflatbuffers1
2025-06-05T23:23:05.8201879Z 0 upgraded, 4 newly installed, 0 to remove and 0 not upgraded.
2025-06-05T23:23:05.8202504Z Need to get 1149 kB of archives.
2025-06-05T23:23:05.8203196Z After this operation, 4700 kB of additional disk space will be used.
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2025-06-05T23:23:05.8205057Z Get:1 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libflatbuffers1 amd64 1.12.1~git20200711.33e2d80+dfsg1-0.6 [167 kB]
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2025-06-05T23:23:05.8208369Z Get:2 http://archive.ubuntu.com/ubuntu jammy/universe amd64 flatbuffers-compiler amd64 1.12.1~git20200711.33e2d80+dfsg1-0.6 [739 kB]
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2025-06-05T23:23:05.8215933Z Get:4 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libflatbuffers-dev amd64 1.12.1~git20200711.33e2d80+dfsg1-0.6 [239 kB]
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2025-06-05T23:23:05.8217586Z                                              
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2025-06-05T23:23:05.8219325Z debconf: delaying package configuration, since apt-utils is not installed
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2025-06-05T23:23:14.0890930Z (Reading database ... 46816 files and directories currently installed.)
2025-06-05T23:23:14.0891540Z Preparing to unpack .../libflatbuffers1_1.12.1~git20200711.33e2d80+dfsg1-0.6_amd64.deb ...
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2025-06-05T23:23:14.0914245Z The following packages were automatically installed and are no longer required:
2025-06-05T23:23:14.0914738Z   libssh2-1 libstd-rust-1.75 libstd-rust-dev
2025-06-05T23:23:14.0915068Z Use 'sudo apt autoremove' to remove them.
2025-06-05T23:23:14.0915416Z The following NEW packages will be installed:
2025-06-05T23:23:14.0915733Z   git-lfs
2025-06-05T23:23:14.0916012Z 0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded.
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2025-06-05T23:23:14.0941632Z The following packages were automatically installed and are no longer required:
2025-06-05T23:23:14.0942110Z   libssh2-1 libstd-rust-1.75 libstd-rust-dev
2025-06-05T23:23:14.0949552Z Use 'sudo apt autoremove' to remove them.
2025-06-05T23:23:14.0949969Z The following NEW packages will be installed:
2025-06-05T23:23:14.0950305Z   nlohmann-json3-dev
2025-06-05T23:23:14.0950626Z 0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded.
2025-06-05T23:23:14.0951019Z Need to get 167 kB of archives.
2025-06-05T23:23:14.0951389Z After this operation, 1247 kB of additional disk space will be used.
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2025-06-05T23:23:14.0953340Z                                           
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2025-06-05T23:23:14.0960636Z (Reading database ... 46910 files and directories currently installed.)
2025-06-05T23:23:14.0961144Z Preparing to unpack .../nlohmann-json3-dev_3.10.5-2_all.deb ...
2025-06-05T23:23:14.0961589Z Unpacking nlohmann-json3-dev (3.10.5-2) ...
2025-06-05T23:23:14.0962053Z Setting up nlohmann-json3-dev (3.10.5-2) ...
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2025-06-05T23:23:19.2575314Z wget is already the newest version (1.21.2-2ubuntu1.1).
2025-06-05T23:23:19.2575820Z The following packages were automatically installed and are no longer required:
2025-06-05T23:23:19.2576320Z   libssh2-1 libstd-rust-1.75 libstd-rust-dev
2025-06-05T23:23:19.2576652Z Use 'sudo apt autoremove' to remove them.
2025-06-05T23:23:19.2577052Z 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
2025-06-05T23:23:19.2577727Z --2025-06-05 23:23:14--  https://github.com/Kitware/CMake/releases/download/v3.26.0/cmake-3.26.0-linux-x86_64.sh
2025-06-05T23:23:19.2578327Z Resolving github.com (github.com)... 140.82.112.3
2025-06-05T23:23:19.2578766Z Connecting to github.com (github.com)|140.82.112.3|:443... connected.
2025-06-05T23:23:19.2579199Z HTTP request sent, awaiting response... 302 Found
2025-06-05T23:23:19.2581915Z Location: https://objects.githubusercontent.com/github-production-release-asset-2e65be/537699/7a051bd2-fd3f-41f7-aa29-99966d609099?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=releaseassetproduction%2F20250605%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250605T232314Z&X-Amz-Expires=300&X-Amz-Signature=c299c92820f8d5cdf606fe9f1fd4dd85167a9fa741bb41a3e44aa775e290779e&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B%20filename%3Dcmake-3.26.0-linux-x86_64.sh&response-content-type=application%2Foctet-stream [following]
2025-06-05T23:23:19.2586658Z --2025-06-05 23:23:14--  https://objects.githubusercontent.com/github-production-release-asset-2e65be/537699/7a051bd2-fd3f-41f7-aa29-99966d609099?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=releaseassetproduction%2F20250605%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250605T232314Z&X-Amz-Expires=300&X-Amz-Signature=c299c92820f8d5cdf606fe9f1fd4dd85167a9fa741bb41a3e44aa775e290779e&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B%20filename%3Dcmake-3.26.0-linux-x86_64.sh&response-content-type=application%2Foctet-stream
2025-06-05T23:23:19.2589486Z Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...
2025-06-05T23:23:19.2590445Z Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.108.133|:443... connected.
2025-06-05T23:23:19.2591073Z HTTP request sent, awaiting response... 200 OK
2025-06-05T23:23:19.2591443Z Length: 48328354 (46M) [application/octet-stream]
2025-06-05T23:23:19.2591783Z Saving to: 'cmake-3.26.0-linux-x86_64.sh'
2025-06-05T23:23:19.2592006Z 
2025-06-05T23:23:19.2592010Z 
2025-06-05T23:23:19.2592158Z           cmake-3.2   0%[                    ]       0  --.-KB/s               
2025-06-05T23:23:19.2592593Z cmake-3.26.0-linux- 100%[===================>]  46.09M  --.-KB/s    in 0.1s    
2025-06-05T23:23:19.2592901Z 
2025-06-05T23:23:19.2593121Z 2025-06-05 23:23:14 (448 MB/s) - 'cmake-3.26.0-linux-x86_64.sh' saved [48328354/48328354]
2025-06-05T23:23:19.2593451Z 
2025-06-05T23:23:19.2593618Z CMake Installer Version: 3.26.0, Copyright (c) Kitware
2025-06-05T23:23:19.2593977Z This is a self-extracting archive.
2025-06-05T23:23:19.2594303Z The archive will be extracted to: /usr/local
2025-06-05T23:23:19.2594522Z 
2025-06-05T23:23:19.2594627Z Using target directory: /usr/local
2025-06-05T23:23:19.2594922Z Extracting, please wait...
2025-06-05T23:23:19.2595090Z 
2025-06-05T23:23:19.2595206Z Unpacking finished successfully
2025-06-05T23:23:19.2595497Z + mkdir build
2025-06-05T23:23:19.2595707Z + cd build
2025-06-05T23:23:19.2595966Z + cmake .. -DCMAKE_BUILD_TYPE=Release -DENABLE_PYTHON=ON
2025-06-05T23:23:19.2596357Z -- The C compiler identification is GNU 9.5.0
2025-06-05T23:23:19.2596703Z -- The CXX compiler identification is GNU 9.5.0
2025-06-05T23:23:19.2597046Z -- Detecting C compiler ABI info
2025-06-05T23:23:19.2597340Z -- Detecting C compiler ABI info - done
2025-06-05T23:23:19.2597724Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-06-05T23:23:19.2598164Z -- Detecting C compile features
2025-06-05T23:23:19.2598460Z -- Detecting C compile features - done
2025-06-05T23:23:19.2598775Z -- Detecting CXX compiler ABI info
2025-06-05T23:23:19.2599069Z -- Detecting CXX compiler ABI info - done
2025-06-05T23:23:19.2599459Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-06-05T23:23:19.2599834Z -- Detecting CXX compile features
2025-06-05T23:23:19.2600139Z -- Detecting CXX compile features - done
2025-06-05T23:23:19.2600451Z -- Performing Test OPENVINO_STDLIB_GNU
2025-06-05T23:23:19.2600789Z -- Performing Test OPENVINO_STDLIB_GNU - Success
2025-06-05T23:23:19.2601124Z -- Performing Test OPENVINO_GLIBC_MUSL
2025-06-05T23:23:19.2601458Z -- Performing Test OPENVINO_GLIBC_MUSL - Failed
2025-06-05T23:23:19.2601810Z -- OpenVINO version is 2025.1.0 (Build 18520)
2025-06-05T23:23:19.2602136Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-06-05T23:23:19.2602554Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-06-05T23:23:19.2602895Z -- Found Threads: TRUE  
2025-06-05T23:23:19.2603182Z -- Performing Test SUGGEST_OVERRIDE_SUPPORTED
2025-06-05T23:23:19.2603555Z -- Performing Test SUGGEST_OVERRIDE_SUPPORTED - Success
2025-06-05T23:23:19.2603964Z -- Performing Test UNUSED_BUT_SET_VARIABLE_SUPPORTED
2025-06-05T23:23:19.2604386Z -- Performing Test UNUSED_BUT_SET_VARIABLE_SUPPORTED - Success
2025-06-05T23:23:19.2605235Z CMake Warning at cmake/developer_package/clang_format/clang_format.cmake:22 (message):
2025-06-05T23:23:19.2605770Z   Supported clang-format-15 is not found!
2025-06-05T23:23:19.2606084Z Call Stack (most recent call first):
2025-06-05T23:23:19.2606551Z   cmake/developer_package/OpenVINODeveloperScriptsConfig.cmake:310 (include)
2025-06-05T23:23:19.2607033Z   CMakeLists.txt:58 (find_package)
2025-06-05T23:23:19.2607239Z 
2025-06-05T23:23:19.2607339Z 
2025-06-05T23:23:19.2607792Z CMake Warning at cmake/developer_package/clang_tidy/clang_tidy.cmake:22 (message):
2025-06-05T23:23:19.2608300Z   Supported clang-tidy-18 is not found!
2025-06-05T23:23:19.2608614Z Call Stack (most recent call first):
2025-06-05T23:23:19.2609060Z   cmake/developer_package/OpenVINODeveloperScriptsConfig.cmake:311 (include)
2025-06-05T23:23:19.2609542Z   CMakeLists.txt:58 (find_package)
2025-06-05T23:23:19.2609732Z 
2025-06-05T23:23:19.2609829Z 
2025-06-05T23:23:19.2610094Z -- Found libclang: /usr/lib/llvm-14/lib/libclang-14.so.1
2025-06-05T23:23:19.2610697Z CMake Warning at cmake/developer_package/python_requirements.cmake:118 (message):
2025-06-05T23:23:19.2611190Z   Python requirement file
2025-06-05T23:23:19.2611698Z   /pytorch/executorch/openvino/cmake/developer_package/ncc_naming_style/requirements_dev.txt
2025-06-05T23:23:19.2612280Z   is not installed, NCC style check will be unavailable
2025-06-05T23:23:19.2612636Z Call Stack (most recent call first):
2025-06-05T23:23:19.2613225Z   cmake/developer_package/ncc_naming_style/ncc_naming_style.cmake:109 (ov_check_pip_packages)
2025-06-05T23:23:19.2613906Z   cmake/developer_package/OpenVINODeveloperScriptsConfig.cmake:312 (include)
2025-06-05T23:23:19.2614387Z   CMakeLists.txt:58 (find_package)
2025-06-05T23:23:19.2614577Z 
2025-06-05T23:23:19.2614676Z 
2025-06-05T23:23:19.2614898Z -- OpenVINO Runtime enabled features: 
2025-06-05T23:23:19.2615172Z -- 
2025-06-05T23:23:19.2615446Z --     CI_BUILD_NUMBER: 2025.1.0-18520-e64f063ae32-releases/2025/1
2025-06-05T23:23:19.2615802Z --     ENABLE_LTO = OFF
2025-06-05T23:23:19.2616043Z --     OS_FOLDER = OFF
2025-06-05T23:23:19.2616296Z --     USE_BUILD_TYPE_SUBFOLDER = ON
2025-06-05T23:23:19.2616594Z --     CMAKE_COMPILE_WARNING_AS_ERROR = OFF
2025-06-05T23:23:19.2616912Z --     ENABLE_QSPECTRE = OFF
2025-06-05T23:23:19.2617176Z --     ENABLE_INTEGRITYCHECK = OFF
2025-06-05T23:23:19.2617469Z --     ENABLE_SANITIZER = OFF
2025-06-05T23:23:19.2617733Z --     ENABLE_UB_SANITIZER = OFF
2025-06-05T23:23:19.2618016Z --     ENABLE_THREAD_SANITIZER = OFF
2025-06-05T23:23:19.2618296Z --     ENABLE_COVERAGE = OFF
2025-06-05T23:23:19.2618650Z --     ENABLE_API_VALIDATOR = OFF
2025-06-05T23:23:19.2618924Z --     ENABLE_PDB_IN_RELEASE = OFF
2025-06-05T23:23:19.2619202Z --     ENABLE_SSE42 = ON
2025-06-05T23:23:19.2619446Z --     ENABLE_AVX2 = ON
2025-06-05T23:23:19.2619672Z --     ENABLE_AVX512F = ON
2025-06-05T23:23:19.2619928Z --     ENABLE_NEON_FP16 = OFF
2025-06-05T23:23:19.2620175Z --     ENABLE_SVE = OFF
2025-06-05T23:23:19.2620422Z --     BUILD_SHARED_LIBS = ON
2025-06-05T23:23:19.2620693Z --     ENABLE_LIBRARY_VERSIONING = ON
2025-06-05T23:23:19.2620993Z --     ENABLE_FASTER_BUILD = OFF
2025-06-05T23:23:19.2621258Z --     ENABLE_CPPLINT = ON
2025-06-05T23:23:19.2621525Z --     ENABLE_CPPLINT_REPORT = OFF
2025-06-05T23:23:19.2621804Z --     ENABLE_CLANG_FORMAT = OFF
2025-06-05T23:23:19.2622081Z --     ENABLE_CLANG_TIDY = OFF
2025-06-05T23:23:19.2622348Z --     ENABLE_NCC_STYLE = OFF
2025-06-05T23:23:19.2622607Z --     ENABLE_UNSAFE_LOCATIONS = OFF
2025-06-05T23:23:19.2622952Z --     ENABLE_FUZZING = OFF
2025-06-05T23:23:19.2623200Z --     ENABLE_PROXY = ON
2025-06-05T23:23:19.2623449Z --     ENABLE_INTEL_CPU = ON
2025-06-05T23:23:19.2623708Z --     ENABLE_ARM_COMPUTE_CMAKE = OFF
2025-06-05T23:23:19.2623997Z --     ENABLE_TESTS = OFF
2025-06-05T23:23:19.2624234Z --     ENABLE_INTEL_GPU = ON
2025-06-05T23:23:19.2624501Z --     ENABLE_ONEDNN_FOR_GPU = ON
2025-06-05T23:23:19.2624767Z --     ENABLE_INTEL_NPU = ON
2025-06-05T23:23:19.2625039Z --     ENABLE_INTEL_NPU_INTERNAL = ON
2025-06-05T23:23:19.2625335Z --     ENABLE_DEBUG_CAPS = OFF
2025-06-05T23:23:19.2625597Z --     ENABLE_NPU_DEBUG_CAPS = OFF
2025-06-05T23:23:19.2625890Z --     ENABLE_GPU_DEBUG_CAPS = OFF
2025-06-05T23:23:19.2626165Z --     ENABLE_CPU_DEBUG_CAPS = OFF
2025-06-05T23:23:19.2626461Z --     ENABLE_SNIPPETS_DEBUG_CAPS = OFF
2025-06-05T23:23:19.2626766Z --     ENABLE_SNIPPETS_LIBXSMM_TPP = OFF
2025-06-05T23:23:19.2627076Z --     ENABLE_PROFILING_ITT = OFF
2025-06-05T23:23:19.2627352Z --     ENABLE_PROFILING_FILTER = ALL
2025-06-05T23:23:19.2627669Z --     ENABLE_PROFILING_FIRST_INFERENCE = ON
2025-06-05T23:23:19.2627970Z --     SELECTIVE_BUILD = OFF
2025-06-05T23:23:19.2628231Z --     ENABLE_DOCS = OFF
2025-06-05T23:23:19.2628482Z --     ENABLE_PKGCONFIG_GEN = ON
2025-06-05T23:23:19.2628974Z --     THREADING = TBB
2025-06-05T23:23:19.2629226Z --     ENABLE_INTEL_OPENMP = OFF
2025-06-05T23:23:19.2629491Z --     ENABLE_TBBBIND_2_5 = ON
2025-06-05T23:23:19.2629769Z --     ENABLE_TBB_RELEASE_ONLY = ON
2025-06-05T23:23:19.2630039Z --     ENABLE_MULTI = ON
2025-06-05T23:23:19.2630281Z --     ENABLE_AUTO = ON
2025-06-05T23:23:19.2630512Z --     ENABLE_AUTO_BATCH = ON
2025-06-05T23:23:19.2630774Z --     ENABLE_HETERO = ON
2025-06-05T23:23:19.2631010Z --     ENABLE_TEMPLATE = ON
2025-06-05T23:23:19.2631272Z --     ENABLE_PLUGINS_XML = OFF
2025-06-05T23:23:19.2631549Z --     ENABLE_FUNCTIONAL_TESTS = OFF
2025-06-05T23:23:19.2631826Z --     ENABLE_SAMPLES = ON
2025-06-05T23:23:19.2632091Z --     ENABLE_OV_ONNX_FRONTEND = ON
2025-06-05T23:23:19.2632381Z --     ENABLE_OV_PADDLE_FRONTEND = ON
2025-06-05T23:23:19.2632676Z --     ENABLE_OV_IR_FRONTEND = ON
2025-06-05T23:23:19.2632953Z --     ENABLE_OV_PYTORCH_FRONTEND = ON
2025-06-05T23:23:19.2633250Z --     ENABLE_OV_JAX_FRONTEND = ON
2025-06-05T23:23:19.2633521Z --     ENABLE_OV_IR_FRONTEND = ON
2025-06-05T23:23:19.2633798Z --     ENABLE_OV_TF_FRONTEND = ON
2025-06-05T23:23:19.2634068Z --     ENABLE_OV_TF_LITE_FRONTEND = ON
2025-06-05T23:23:19.2634369Z --     ENABLE_SNAPPY_COMPRESSION = ON
2025-06-05T23:23:24.0465655Z --     ENABLE_STRICT_DEPENDENCIES = OFF
2025-06-05T23:23:24.0466247Z --     ENABLE_SYSTEM_TBB = OFF
2025-06-05T23:23:24.0466741Z --     ENABLE_SYSTEM_PUGIXML = OFF
2025-06-05T23:23:24.0467262Z --     ENABLE_SYSTEM_FLATBUFFERS = ON
2025-06-05T23:23:24.0467574Z --     ENABLE_SYSTEM_OPENCL = ON
2025-06-05T23:23:24.0467854Z --     ENABLE_SYSTEM_PROTOBUF = OFF
2025-06-05T23:23:24.0468151Z --     ENABLE_SYSTEM_SNAPPY = OFF
2025-06-05T23:23:24.0468486Z --     ENABLE_SYSTEM_LEVEL_ZERO = OFF
2025-06-05T23:23:24.0469041Z --     ENABLE_JS = ON
2025-06-05T23:23:24.0469299Z --     ENABLE_OPENVINO_DEBUG = OFF
2025-06-05T23:23:24.0469568Z -- 
2025-06-05T23:23:24.0469781Z -- CMAKE_VERSION ......................... 3.26.4
2025-06-05T23:23:24.0470136Z -- CMAKE_CROSSCOMPILING .................. FALSE
2025-06-05T23:23:24.0470556Z -- OpenVINO_SOURCE_DIR ................... /pytorch/executorch/openvino
2025-06-05T23:23:24.0471083Z -- OpenVINO_BINARY_DIR ................... /pytorch/executorch/openvino/build
2025-06-05T23:23:24.0471539Z -- CMAKE_GENERATOR ....................... Unix Makefiles
2025-06-05T23:23:24.0471903Z -- CPACK_GENERATOR ....................... TGZ
2025-06-05T23:23:24.0472221Z -- CMAKE_C_COMPILER_ID ................... GNU
2025-06-05T23:23:24.0472553Z -- CMAKE_CXX_COMPILER_ID ................. GNU
2025-06-05T23:23:24.0472879Z -- CMAKE_CXX_STANDARD .................... 17
2025-06-05T23:23:24.0473200Z -- CMAKE_BUILD_TYPE ...................... Release
2025-06-05T23:23:24.0473650Z -- LIBC_VERSION .......................... 2.35
2025-06-05T23:23:24.0473967Z -- STDLIB ................................ GNU
2025-06-05T23:23:24.0474313Z -- Found Git: /usr/bin/git (found version "2.34.1") 
2025-06-05T23:23:24.0474662Z -- Performing Test COMPILER_SUPPORTS_CXX14
2025-06-05T23:23:24.0475030Z -- Performing Test COMPILER_SUPPORTS_CXX14 - Success
2025-06-05T23:23:24.0475374Z -- Looking for C++ include unistd.h
2025-06-05T23:23:24.0475683Z -- Looking for C++ include unistd.h - found
2025-06-05T23:23:24.0476002Z -- Looking for C++ include stdint.h
2025-06-05T23:23:24.0476297Z -- Looking for C++ include stdint.h - found
2025-06-05T23:23:24.0476619Z -- Looking for C++ include sys/types.h
2025-06-05T23:23:24.0476928Z -- Looking for C++ include sys/types.h - found
2025-06-05T23:23:24.0477259Z -- Looking for C++ include fnmatch.h
2025-06-05T23:23:24.0477559Z -- Looking for C++ include fnmatch.h - found
2025-06-05T23:23:24.0477870Z -- Looking for strtoll
2025-06-05T23:23:24.0478111Z -- Looking for strtoll - found
2025-06-05T23:23:24.0478410Z -- Protocol Buffers Configuring...
2025-06-05T23:23:24.0478686Z -- 
2025-06-05T23:23:24.0478861Z -- 3.21.12.0
2025-06-05T23:23:24.0479095Z -- Configuration script parsing status [
2025-06-05T23:23:24.0479405Z --   Description : Protocol Buffers
2025-06-05T23:23:24.0479696Z --   Version     : 3.21.12.0 (3.21.12)
2025-06-05T23:23:24.0479995Z --   Contact     : protobuf@googlegroups.com
2025-06-05T23:23:24.0480292Z -- ]
2025-06-05T23:23:24.0480526Z -- Performing Test protobuf_HAVE_LD_VERSION_SCRIPT
2025-06-05T23:23:24.0480947Z -- Performing Test protobuf_HAVE_LD_VERSION_SCRIPT - Success
2025-06-05T23:23:24.0481347Z -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS
2025-06-05T23:23:24.0481747Z -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS - Success
2025-06-05T23:23:24.0482126Z -- Protocol Buffers Configuring done
2025-06-05T23:23:24.0482408Z -- Looking for sys/mman.h
2025-06-05T23:23:24.0482672Z -- Looking for sys/mman.h - found
2025-06-05T23:23:24.0482942Z -- Looking for sys/resource.h
2025-06-05T23:23:24.0483232Z -- Looking for sys/resource.h - found
2025-06-05T23:23:24.0483513Z -- Looking for sys/time.h
2025-06-05T23:23:24.0483772Z -- Looking for sys/time.h - found
2025-06-05T23:23:24.0484040Z -- Looking for sys/uio.h
2025-06-05T23:23:24.0484297Z -- Looking for sys/uio.h - found
2025-06-05T23:23:24.0484561Z -- Looking for windows.h
2025-06-05T23:23:24.0484821Z -- Looking for windows.h - not found
2025-06-05T23:23:24.0485116Z -- Looking for zlibVersion in z
2025-06-05T23:23:24.0485392Z -- Looking for zlibVersion in z - found
2025-06-05T23:23:24.0485719Z -- Looking for lzo1x_1_15_compress in lzo2
2025-06-05T23:23:24.0486061Z -- Looking for lzo1x_1_15_compress in lzo2 - not found
2025-06-05T23:23:24.0486421Z -- Looking for LZ4_compress_default in lz4
2025-06-05T23:23:24.0486764Z -- Looking for LZ4_compress_default in lz4 - not found
2025-06-05T23:23:24.0487133Z -- Performing Test HAVE_VISUAL_STUDIO_ARCH_AVX
2025-06-05T23:23:24.0487505Z -- Performing Test HAVE_VISUAL_STUDIO_ARCH_AVX - Failed
2025-06-05T23:23:24.0487992Z -- Performing Test HAVE_VISUAL_STUDIO_ARCH_AVX2
2025-06-05T23:23:24.0488382Z -- Performing Test HAVE_VISUAL_STUDIO_ARCH_AVX2 - Failed
2025-06-05T23:23:24.0488735Z -- Performing Test HAVE_CLANG_MAVX
2025-06-05T23:23:24.0489048Z -- Performing Test HAVE_CLANG_MAVX - Success
2025-06-05T23:23:24.0489365Z -- Performing Test HAVE_CLANG_MBMI2
2025-06-05T23:23:24.0489679Z -- Performing Test HAVE_CLANG_MBMI2 - Success
2025-06-05T23:23:24.0490065Z -- Performing Test SNAPPY_HAVE_NO_MISSING_FIELD_INITIALIZERS
2025-06-05T23:23:24.0490559Z -- Performing Test SNAPPY_HAVE_NO_MISSING_FIELD_INITIALIZERS - Success
2025-06-05T23:23:24.0491052Z -- Performing Test SNAPPY_HAVE_NO_IMPLICIT_INT_FLOAT_CONVERSION
2025-06-05T23:23:24.0491571Z -- Performing Test SNAPPY_HAVE_NO_IMPLICIT_INT_FLOAT_CONVERSION - Success
2025-06-05T23:23:24.0492015Z -- Performing Test HAVE_BUILTIN_EXPECT
2025-06-05T23:23:24.0492342Z -- Performing Test HAVE_BUILTIN_EXPECT - Success
2025-06-05T23:23:24.0492783Z -- Performing Test HAVE_BUILTIN_CTZ
2025-06-05T23:23:24.0493193Z -- Performing Test HAVE_BUILTIN_CTZ - Success
2025-06-05T23:23:24.0493534Z -- Performing Test HAVE_BUILTIN_PREFETCH
2025-06-05T23:23:24.0493872Z -- Performing Test HAVE_BUILTIN_PREFETCH - Success
2025-06-05T23:23:24.0494249Z -- Performing Test HAVE_ATTRIBUTE_ALWAYS_INLINE
2025-06-05T23:23:24.0494646Z -- Performing Test HAVE_ATTRIBUTE_ALWAYS_INLINE - Success
2025-06-05T23:23:24.0495011Z -- Performing Test SNAPPY_HAVE_SSSE3
2025-06-05T23:23:24.0495334Z -- Performing Test SNAPPY_HAVE_SSSE3 - Failed
2025-06-05T23:23:24.0495662Z -- Performing Test SNAPPY_HAVE_X86_CRC32
2025-06-05T23:23:24.0496007Z -- Performing Test SNAPPY_HAVE_X86_CRC32 - Failed
2025-06-05T23:23:24.0496348Z -- Performing Test SNAPPY_HAVE_NEON_CRC32
2025-06-05T23:23:24.0496698Z -- Performing Test SNAPPY_HAVE_NEON_CRC32 - Failed
2025-06-05T23:23:24.0497036Z -- Performing Test SNAPPY_HAVE_BMI2
2025-06-05T23:23:24.0497353Z -- Performing Test SNAPPY_HAVE_BMI2 - Failed
2025-06-05T23:23:24.0497671Z -- Performing Test SNAPPY_HAVE_NEON
2025-06-05T23:23:24.0497988Z -- Performing Test SNAPPY_HAVE_NEON - Failed
2025-06-05T23:23:24.0498297Z -- Looking for mmap
2025-06-05T23:23:24.0498521Z -- Looking for mmap - found
2025-06-05T23:23:24.0498778Z -- Looking for sysconf
2025-06-05T23:23:24.0499012Z -- Looking for sysconf - found
2025-06-05T23:23:24.0499470Z -- Found PythonInterp: /opt/conda/envs/py_3.10/bin/python3.10 (found version "3.10.16") 
2025-06-05T23:23:24.0500563Z Generated: /pytorch/executorch/openvino/build/thirdparty/onnx/onnx/onnx/onnx_openvino_onnx-ml.proto
2025-06-05T23:23:24.0501661Z Generated: /pytorch/executorch/openvino/build/thirdparty/onnx/onnx/onnx/onnx-operators_openvino_onnx-ml.proto
2025-06-05T23:23:24.0502746Z Generated: /pytorch/executorch/openvino/build/thirdparty/onnx/onnx/onnx/onnx-data_openvino_onnx.proto
2025-06-05T23:23:24.0503337Z -- 
2025-06-05T23:23:24.0503540Z -- ******** Summary ********
2025-06-05T23:23:24.0503808Z --   CMake version                     : 3.26.4
2025-06-05T23:23:24.0504210Z --   CMake command                     : /opt/conda/envs/py_3.10/bin/cmake
2025-06-05T23:23:24.0504591Z --   System                            : Linux
2025-06-05T23:23:24.0504941Z --   C++ compiler                      : /opt/cache/bin/c++
2025-06-05T23:23:24.0505293Z --   C++ compiler version              : 9.5.0
2025-06-05T23:23:24.0506144Z --   CXX flags                         : -Wsuggest-override  -fsigned-char -ffunction-sections -fdata-sections -fdiagnostics-show-option -Wall -Wundef -Wno-suggest-override -Wnon-virtual-dtor
2025-06-05T23:23:24.0507001Z --   Build type                        : Release
2025-06-05T23:23:24.0507562Z --   Compile definitions               : OV_BUILD_POSTFIX="";OV_NATIVE_PARENT_PROJECT_ROOT_DIR="openvino";__STDC_FORMAT_MACROS
2025-06-05T23:23:24.0508129Z --   CMAKE_PREFIX_PATH                 : 
2025-06-05T23:23:24.0508467Z --   CMAKE_INSTALL_PREFIX              : /usr/local
2025-06-05T23:23:24.0508789Z --   CMAKE_MODULE_PATH                 : 
2025-06-05T23:23:24.0509177Z -- 
2025-06-05T23:23:24.0509377Z --   ONNX version                      : 1.17.0
2025-06-05T23:23:24.0509725Z --   ONNX NAMESPACE                    : openvino_onnx
2025-06-05T23:23:24.0510061Z --   ONNX_USE_LITE_PROTO               : ON
2025-06-05T23:23:24.0510382Z --   USE_PROTOBUF_SHARED_LIBS          : OFF
2025-06-05T23:23:24.0510706Z --   Protobuf_USE_STATIC_LIBS          : ON
2025-06-05T23:23:24.0511017Z --   ONNX_DISABLE_EXCEPTIONS           : OFF
2025-06-05T23:23:24.0511346Z --   ONNX_DISABLE_STATIC_REGISTRATION  : OFF
2025-06-05T23:23:24.0511654Z --   ONNX_WERROR                       : OFF
2025-06-05T23:23:24.0511960Z --   ONNX_BUILD_TESTS                  : OFF
2025-06-05T23:23:24.0512258Z --   ONNX_BUILD_SHARED_LIBS            : 
2025-06-05T23:23:24.0512572Z --   BUILD_SHARED_LIBS                 : OFF
2025-06-05T23:23:24.0512848Z -- 
2025-06-05T23:23:24.0513065Z --   Protobuf compiler                 : 
2025-06-05T23:23:24.0513447Z --   Protobuf includes                 : 
2025-06-05T23:23:24.0513746Z --   Protobuf libraries                : 
2025-06-05T23:23:24.0514059Z --   BUILD_ONNX_PYTHON                 : OFF
2025-06-05T23:23:24.0515156Z -- Downloading from https://storage.openvinotoolkit.org/dependencies/thirdparty/linux/oneapi-tbb-2021.13.0-lin-release.tgz to /pytorch/executorch/openvino/temp/download/oneapi-tbb-2021.13.0-lin-release.tgz ...
2025-06-05T23:23:24.0516271Z -- /usr/bin/wget --no-cache --no-check-certificate
2025-06-05T23:23:24.0517189Z               --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://storage.openvinotoolkit.org/dependencies/thirdparty/linux/oneapi-tbb-2021.13.0-lin-release.tgz
2025-06-05T23:23:24.0518423Z --2025-06-05 23:23:23--  https://storage.openvinotoolkit.org/dependencies/thirdparty/linux/oneapi-tbb-2021.13.0-lin-release.tgz
2025-06-05T23:23:24.0519384Z Resolving storage.openvinotoolkit.org (storage.openvinotoolkit.org)... 18.160.46.54, 18.160.46.68, 18.160.46.83, ...
2025-06-05T23:23:24.0520247Z Connecting to storage.openvinotoolkit.org (storage.openvinotoolkit.org)|18.160.46.54|:443... connected.
2025-06-05T23:23:24.0520856Z HTTP request sent, awaiting response... 200 OK
2025-06-05T23:23:24.0521209Z Length: 597185 (583K) [application/octet-stream]
2025-06-05T23:23:24.0521782Z Saving to: '/pytorch/executorch/openvino/temp/download/oneapi-tbb-2021.13.0-lin-release.tgz'
2025-06-05T23:23:24.0522222Z 
2025-06-05T23:23:24.0522370Z      0K .......... .......... .......... .......... ..........  8%  744K 1s
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2025-06-05T23:23:24.0526631Z    550K .......... .......... .......... ...                  100%  194M=0.3s
2025-06-05T23:23:24.0526887Z 
2025-06-05T23:23:24.0527360Z 2025-06-05 23:23:24 (2.10 MB/s) - '/pytorch/executorch/openvino/temp/download/oneapi-tbb-2021.13.0-lin-release.tgz' saved [597185/597185]
2025-06-05T23:23:24.0527925Z 
2025-06-05T23:23:24.0528012Z -- extracting...
2025-06-05T23:23:24.0528469Z          src='/pytorch/executorch/openvino/temp/download/oneapi-tbb-2021.13.0-lin-release.tgz'
2025-06-05T23:23:31.1006936Z          dst='/pytorch/executorch/openvino/temp/tbb'
2025-06-05T23:23:31.1007536Z -- extracting... [tar xfz] 
2025-06-05T23:23:31.1008202Z -- TBB (2021.13.0) is found at /pytorch/executorch/openvino/temp/tbb/lib/cmake/TBB
2025-06-05T23:23:31.1009465Z -- Static tbbbind_2_5 package usage is disabled, since oneTBB (ver. 2021.13.0) provides dynamic TBBBind 2.5+
2025-06-05T23:23:31.1010729Z -- STD_FS_NEEDS_STDCXXFS - Add explicit filesystem linker setting: 'stdc++fs'.
2025-06-05T23:23:31.1011550Z -- The ASM compiler identification is GNU
2025-06-05T23:23:31.1012167Z -- Found assembler: /opt/cache/bin/cc
2025-06-05T23:23:31.1012786Z -- The ASM_MASM compiler identification is unknown
2025-06-05T23:23:31.1013466Z -- Found assembler: ml
2025-06-05T23:23:31.1013912Z -- DNNL_TARGET_ARCH: X64
2025-06-05T23:23:31.1014401Z -- DNNL_LIBRARY_NAME: openvino_onednn_cpu
2025-06-05T23:23:31.1015045Z -- Found OpenMP_C: -fopenmp (found version "4.5") 
2025-06-05T23:23:31.1016105Z -- Found OpenMP_CXX: -fopenmp (found version "4.5") 
2025-06-05T23:23:31.1016808Z -- Found OpenMP: TRUE (found version "4.5")  
2025-06-05T23:23:31.1017375Z -- Enabled testing coverage: CI
2025-06-05T23:23:31.1017868Z -- Enabled workload: INFERENCE
2025-06-05T23:23:31.1018964Z -- Enabled primitives: CONVOLUTION;DECONVOLUTION;CONCAT;LRN;INNER_PRODUCT;MATMUL;POOLING;REDUCTION;REORDER;RNN;SOFTMAX
2025-06-05T23:23:31.1020143Z -- Enabled primitive CPU ISA: ALL
2025-06-05T23:23:31.1020680Z -- Enabled primitive GPU ISA: ALL
2025-06-05T23:23:31.1021211Z -- Enabled GeMM kernels ISA: SSE41
2025-06-05T23:23:31.1021748Z -- Primitive cache is enabled
2025-06-05T23:23:31.1022264Z -- RapidJSON found. Headers: /usr/include
2025-06-05T23:23:31.1023370Z -- Found Python3: /opt/conda/envs/py_3.10/bin/python3.10 (found version "3.10.16") found components: Interpreter 
2025-06-05T23:23:31.1025012Z -- NPU single-image-test tool is disabled due to missing dependencies: opencv_core;opencv_imgproc;opencv_imgcodecs
2025-06-05T23:23:31.1026519Z -- NPU protopipe tool is disabled due to missing dependencies: gapi from OpenCV >= 4.9.
2025-06-05T23:23:31.1028076Z -- Found Python3: /opt/conda/envs/py_3.10/bin/python3.10 (found version "3.10.16") found components: Interpreter Development.Module 
2025-06-05T23:23:31.1029655Z -- Python3 executable: /opt/conda/envs/py_3.10/bin/python3.10
2025-06-05T23:23:31.1030350Z -- Python3 version: 3.10.16
2025-06-05T23:23:31.1030859Z -- Python3 interpreter ID: Python
2025-06-05T23:23:31.1031438Z -- Python3 SOABI: cpython-310-x86_64-linux-gnu
2025-06-05T23:23:31.1032231Z -- Python3 include dirs: /opt/conda/envs/py_3.10/include/python3.10
2025-06-05T23:23:31.1032966Z -- Python3 libraries: 
2025-06-05T23:23:31.1034231Z CMake Warning at cmake/developer_package/python_requirements.cmake:118 (message):
2025-06-05T23:23:31.1035155Z   Python requirement file
2025-06-05T23:23:31.1035972Z   /pytorch/executorch/openvino/src/bindings/python/wheel/requirements-dev.txt
2025-06-05T23:23:31.1036865Z   is not installed,
2025-06-05T23:23:31.1037313Z Call Stack (most recent call first):
2025-06-05T23:23:31.1038065Z   src/bindings/python/CMakeLists.txt:143 (ov_check_pip_packages)
2025-06-05T23:23:31.1038665Z 
2025-06-05T23:23:31.1038853Z 
2025-06-05T23:23:31.1039215Z -- pybind11 v2.13.5 
2025-06-05T23:23:31.1039649Z -- Performing Test HAS_FLTO
2025-06-05T23:23:31.1040182Z -- Performing Test HAS_FLTO - Success
2025-06-05T23:23:31.1041217Z CMake Warning at samples/cpp/common/format_reader/CMakeLists.txt:22 (message):
2025-06-05T23:23:31.1042326Z   OpenCV ver.  3.0+ is not found, format_reader will be built without OpenCV
2025-06-05T23:23:31.1043055Z   support
2025-06-05T23:23:31.1043254Z 
2025-06-05T23:23:31.1043433Z 
2025-06-05T23:23:31.1044213Z CMake Warning at samples/cpp/benchmark_app/CMakeLists.txt:112 (message):
2025-06-05T23:23:31.1045238Z   OpenCV ver.  3.0+ is not found, benchmark_app will be built without OpenCV
2025-06-05T23:23:31.1046024Z   support.  Set OpenCV_DIR
2025-06-05T23:23:31.1046329Z 
2025-06-05T23:23:31.1046815Z 
2025-06-05T23:23:31.1047676Z CMake Warning at samples/c/common/opencv_c_wrapper/CMakeLists.txt:20 (message):
2025-06-05T23:23:31.1048767Z   OpenCV ver.  3.0+ is not found, opencv_c_wrapper is built without OPENCV
2025-06-05T23:23:31.1049494Z   support
2025-06-05T23:23:31.1049695Z 
2025-06-05T23:23:31.1050291Z 
2025-06-05T23:23:31.1050795Z -- Register template to be built in build-modules/template
2025-06-05T23:23:31.1051775Z -- Register template_extension to be built in build-modules/template_extension
2025-06-05T23:23:31.1052603Z -- Configuring done (11.8s)
2025-06-05T23:23:31.1053152Z -- Generating done (0.9s)
2025-06-05T23:23:31.1053835Z -- Build files have been written to: /pytorch/executorch/openvino/build
2025-06-05T23:23:31.1054585Z ++ nproc
2025-06-05T23:23:31.1054929Z + make -j8
2025-06-05T23:23:31.1055723Z [  0%] [cpplint] src/plugins/intel_npu/tools/compile_tool/main.cpp
2025-06-05T23:23:31.1057134Z [  0%] [cpplint] src/common/offline_transformations/include/pruning.hpp
2025-06-05T23:23:31.1058262Z [  0%] [cpplint] src/plugins/auto/src/utils/time_utils.cpp
2025-06-05T23:23:31.1059690Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/sycl_stream.hpp
2025-06-05T23:23:31.1062591Z [  0%] [cpplint] src/common/low_precision_transformations/include/low_precision/weightable_layer_transformation.hpp
2025-06-05T23:23:31.1064231Z [  0%] [cpplint] src/plugins/intel_gpu/src/plugin/variable_state.cpp
2025-06-05T23:23:31.1065459Z [  0%] [cpplint] src/common/snippets/include/snippets/utils/utils.hpp
2025-06-05T23:23:31.1066750Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/weight_bias_params.h
2025-06-05T23:23:31.1068078Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/debug_configuration.cpp
2025-06-05T23:23:31.1069256Z [  0%] [cpplint] src/plugins/auto/src/async_infer_request.cpp
2025-06-05T23:23:31.1070583Z [  0%] [cpplint] src/common/offline_transformations/src/compress_quantize_weigths.cpp
2025-06-05T23:23:31.1071949Z [  0%] [cpplint] src/common/low_precision_transformations/src/add.cpp
2025-06-05T23:23:31.1073196Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/auto_tuner.cpp
2025-06-05T23:23:31.1074601Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/async_infer_request.hpp
2025-06-05T23:23:31.1075869Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/device.cpp
2025-06-05T23:23:31.1076938Z [  0%] [cpplint] src/plugins/auto/src/auto_compiled_model.cpp
2025-06-05T23:23:31.1077826Z [  0%] [cpplint] compile_tool_cpplint
2025-06-05T23:23:31.1078457Z [  0%] Built target compile_tool_cpplint
2025-06-05T23:23:31.1079434Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/auto_tuner.h
2025-06-05T23:23:31.1080524Z [  0%] [cpplint] src/common/snippets/src/emitter.cpp
2025-06-05T23:23:31.1081743Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/common_utils.hpp
2025-06-05T23:23:31.1083286Z [  0%] [cpplint] src/common/low_precision_transformations/src/align_quantization_intervals.cpp
2025-06-05T23:23:31.1084737Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/common_tools.h
2025-06-05T23:23:31.1085950Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/device_query.cpp
2025-06-05T23:23:31.1087021Z [  0%] [cpplint] src/common/snippets/src/generator.cpp
2025-06-05T23:23:31.1088150Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/common_types.h
2025-06-05T23:23:31.1089252Z [  0%] [cpplint] src/plugins/auto/src/auto_schedule.cpp
2025-06-05T23:23:31.1090454Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/compiled_model.hpp
2025-06-05T23:23:31.1092030Z [  0%] [cpplint] src/common/low_precision_transformations/src/align_quantization_parameters.cpp
2025-06-05T23:23:31.1093679Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/engine.cpp
2025-06-05T23:23:31.1094830Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/jitter.cpp
2025-06-05T23:23:31.1096017Z [  0%] [cpplint] src/common/snippets/src/kernel_executor_table.cpp
2025-06-05T23:23:31.1097353Z [  0%] [cpplint] src/common/low_precision_transformations/src/assign_and_read_value.cpp
2025-06-05T23:23:31.1098802Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/custom_layer.hpp
2025-06-05T23:23:31.1100061Z [  0%] [cpplint] src/common/snippets/src/lowered/expression.cpp
2025-06-05T23:23:31.1101139Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/event.cpp
2025-06-05T23:23:31.1102265Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/jitter.h
2025-06-05T23:23:31.1103706Z [  0%] [cpplint] src/common/offline_transformations/src/pruning/init_const_mask.cpp
2025-06-05T23:23:31.1104908Z [  0%] [cpplint] src/plugins/auto/src/compiled_model.cpp
2025-06-05T23:23:31.1106044Z [  0%] [cpplint] src/common/low_precision_transformations/src/avg_pool.cpp
2025-06-05T23:23:31.1107295Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/execution_config.cpp
2025-06-05T23:23:31.1108573Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/graph.hpp
2025-06-05T23:23:31.1109912Z [  0%] [cpplint] src/common/offline_transformations/src/pruning/init_masks.cpp
2025-06-05T23:23:31.1111241Z [  0%] [cpplint] src/common/snippets/src/lowered/expression_factory.cpp
2025-06-05T23:23:31.1112623Z [  0%] [cpplint] src/common/low_precision_transformations/src/base_matcher_pass.cpp
2025-06-05T23:23:31.1113909Z [  0%] [cpplint] src/plugins/auto/src/cumulative_compiled_model.cpp
2025-06-05T23:23:31.1115347Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/multi_tensor_variable_state.hpp
2025-06-05T23:23:31.1116888Z [  0%] [cpplint] src/common/low_precision_transformations/src/batch_to_space.cpp
2025-06-05T23:23:31.1118134Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/file_util.cpp
2025-06-05T23:23:31.1119437Z [  0%] [cpplint] src/common/offline_transformations/src/pruning/mask_attribute.cpp
2025-06-05T23:23:31.1120770Z [  0%] [cpplint] src/common/snippets/src/lowered/expression_port.cpp
2025-06-05T23:23:31.1122027Z [  0%] [cpplint] src/common/low_precision_transformations/src/broadcast.cpp
2025-06-05T23:23:31.1123204Z [  0%] [cpplint] src/plugins/auto/src/cumulative_schedule.cpp
2025-06-05T23:23:31.1124300Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/format.cpp
2025-06-05T23:23:31.1125460Z [  0%] [cpplint] src/common/low_precision_transformations/src/clamp.cpp
2025-06-05T23:23:31.1126732Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/plugin.hpp
2025-06-05T23:23:31.1128152Z [  0%] [cpplint] src/common/offline_transformations/src/pruning/propagate_masks.cpp
2025-06-05T23:23:31.1129881Z [  0%] [cpplint] src/common/snippets/src/lowered/expressions/buffer_expression.cpp
2025-06-05T23:23:31.1131417Z [  0%] [cpplint] src/common/low_precision_transformations/src/cleanup_transformation.cpp
2025-06-05T23:23:31.1132825Z [  0%] [cpplint] src/common/low_precision_transformations/src/concat.cpp
2025-06-05T23:23:33.7506289Z [  0%] [cpplint] src/plugins/auto/src/infer_request.cpp
2025-06-05T23:23:33.7507446Z [  0%] [cpplint] src/common/low_precision_transformations/src/convert.cpp
2025-06-05T23:23:33.7508788Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/primitives_list.hpp
2025-06-05T23:23:33.7510036Z [  0%] [cpplint] src/common/snippets/src/lowered/linear_ir.cpp
2025-06-05T23:23:33.7511209Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernel_base.cpp
2025-06-05T23:23:33.7512744Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/layout.cpp
2025-06-05T23:23:33.7514078Z [  0%] [cpplint] src/common/low_precision_transformations/src/convert_subtract_constant.cpp
2025-06-05T23:23:33.7515313Z [  0%] [cpplint] src/plugins/auto/src/plugin_config.cpp
2025-06-05T23:23:33.7516454Z [  0%] [cpplint] src/common/low_precision_transformations/src/convolution.cpp
2025-06-05T23:23:33.7517764Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/program_builder.hpp
2025-06-05T23:23:33.7518987Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernel_base.h
2025-06-05T23:23:33.7520293Z [  0%] [cpplint] src/common/low_precision_transformations/src/convolution_backprop_data.cpp
2025-06-05T23:23:33.7521450Z [  0%] [cpplint] src/plugins/auto/src/schedule.cpp
2025-06-05T23:23:33.7522779Z [  0%] [cpplint] src/common/snippets/src/lowered/linear_ir_builder.cpp
2025-06-05T23:23:33.7523911Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/memory.cpp
2025-06-05T23:23:33.7525046Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernel_base_cm.h
2025-06-05T23:23:33.7526313Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/remote_context.hpp
2025-06-05T23:23:33.7527627Z [  0%] [cpplint] src/common/low_precision_transformations/src/depth_to_space.cpp
2025-06-05T23:23:33.7528964Z [  0%] [cpplint] src/common/snippets/src/lowered/loop_info.cpp
2025-06-05T23:23:33.7530212Z [  0%] [cpplint] src/common/low_precision_transformations/src/eliminate_fake_quantize.cpp
2025-06-05T23:23:33.7531593Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernel_base_opencl.cpp
2025-06-05T23:23:33.7532638Z [  0%] [cpplint] src/plugins/auto/src/utils/log.cpp
2025-06-05T23:23:33.7533700Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/memory_pool.cpp
2025-06-05T23:23:33.7534831Z [  0%] [cpplint] src/common/offline_transformations/src/pruning/pruning.cpp
2025-06-05T23:23:33.7536196Z [  0%] [cpplint] src/common/low_precision_transformations/src/eltwise_base_transformation.cpp
2025-06-05T23:23:33.7537609Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/remote_tensor.hpp
2025-06-05T23:23:33.7538651Z [  0%] [cpplint] openvino_auto_plugin_cpplint
2025-06-05T23:23:33.7539301Z [  0%] Built target openvino_auto_plugin_cpplint
2025-06-05T23:23:33.7540218Z [  0%] [cpplint] src/plugins/intel_gpu/src/graph/registry/registry.hpp
2025-06-05T23:23:33.7541436Z [  0%] [cpplint] src/common/low_precision_transformations/src/fake_quantize.cpp
2025-06-05T23:23:33.7542778Z [  0%] [cpplint] src/common/offline_transformations/src/pruning/shrink_weights.cpp
2025-06-05T23:23:33.7544070Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernel_base_opencl.h
2025-06-05T23:23:33.7545421Z [  0%] [cpplint] src/common/offline_transformations/include/compress_quantize_weights.hpp
2025-06-05T23:23:33.7546790Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/simple_math.hpp
2025-06-05T23:23:33.7547965Z [  0%] [cpplint] src/common/snippets/src/lowered/loop_manager.cpp
2025-06-05T23:23:33.7549037Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/shape_predictor.cpp
2025-06-05T23:23:33.7550368Z [  0%] [cpplint] src/common/low_precision_transformations/src/fake_quantize_decomposition.cpp
2025-06-05T23:23:33.7551737Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernel_selector.cpp
2025-06-05T23:23:33.7552845Z [  0%] [cpplint] src/plugins/intel_gpu/src/graph/activation.cpp
2025-06-05T23:23:33.7553984Z [  0%] [cpplint] src/common/offline_transformations/include/mask_attribute.hpp
2025-06-05T23:23:33.7555575Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/sync_infer_request.hpp
2025-06-05T23:23:33.7556998Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/transformations_pipeline.hpp
2025-06-05T23:23:33.7558211Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/stream.cpp
2025-06-05T23:23:33.7559245Z [  0%] [cpplint] src/plugins/intel_gpu/src/graph/adaptive_pooling.cpp
2025-06-05T23:23:33.7560397Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernel_selector.h
2025-06-05T23:23:33.7561659Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/usm_host_tensor.hpp
2025-06-05T23:23:33.7562842Z [  0%] [cpplint] src/common/snippets/src/lowered/loop_port.cpp
2025-06-05T23:23:33.7563978Z [  0%] [cpplint] src/common/snippets/src/lowered/pass/allocate_buffers.cpp
2025-06-05T23:23:33.7565586Z [  0%] [cpplint] src/common/low_precision_transformations/src/fake_quantize_dequantization.cpp
2025-06-05T23:23:33.7566813Z [  0%] [cpplint] openvino_offline_transformations_cpplint
2025-06-05T23:23:33.7567869Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_base_event.hpp
2025-06-05T23:23:33.7568761Z [  0%] Built target openvino_offline_transformations_cpplint
2025-06-05T23:23:33.7569758Z [  0%] [cpplint] src/plugins/intel_gpu/src/graph/impls/cm/lstm_seq.hpp
2025-06-05T23:23:33.7570795Z [  0%] [cpplint] src/plugins/intel_gpu/src/graph/arg_max_min.cpp
2025-06-05T23:23:33.7572002Z [  0%] [cpplint] src/plugins/intel_gpu/include/intel_gpu/plugin/variable_state.hpp
2025-06-05T23:23:33.7573425Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernel_selector_common.cpp
2025-06-05T23:23:33.7574693Z [  0%] [cpplint] src/plugins/intel_gpu/src/graph/impls/cm/impl_example.cpp
2025-06-05T23:23:33.7575897Z [  0%] [cpplint] src/common/snippets/src/lowered/pass/assign_registers.cpp
2025-06-05T23:23:33.7577191Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_command_queues_builder.cpp
2025-06-05T23:23:33.7578484Z [  0%] [cpplint] src/common/low_precision_transformations/src/fold_convert.cpp
2025-06-05T23:23:33.7579559Z [  0%] [cpplint] src/plugins/intel_gpu/src/graph/assign.cpp
2025-06-05T23:23:33.7580629Z [  0%] [cpplint] src/plugins/intel_gpu/src/graph/impls/cm/lstm_seq.cpp
2025-06-05T23:23:33.7581777Z [  0%] [cpplint] src/plugins/intel_gpu/src/plugin/async_infer_request.cpp
2025-06-05T23:23:33.7582985Z [  0%] [cpplint] src/plugins/intel_gpu/src/graph/impls/cm/impl_example.hpp
2025-06-05T23:23:33.7584191Z [  0%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_command_queues_builder.hpp
2025-06-05T23:23:33.7585351Z [  0%] [cpplint] src/plugins/intel_gpu/src/graph/batch_to_space.cpp
2025-06-05T23:23:33.7586502Z [  0%] [cpplint] src/common/snippets/src/lowered/pass/brgemm_blocking.cpp
2025-06-05T23:23:33.7587795Z [  0%] [cpplint] src/common/low_precision_transformations/src/fold_fake_quantize.cpp
2025-06-05T23:23:33.7588821Z [  0%] [cpplint] src/plugins/intel_gpu/src/plugin/common_utils.cpp
2025-06-05T23:23:33.7589795Z [  0%] [cpplint] src/plugins/intel_gpu/src/plugin/compiled_model.cpp
2025-06-05T23:23:33.7590923Z [  0%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernel_selector_common.h
2025-06-05T23:23:33.7591919Z [  1%] [cpplint] openvino_intel_gpu_cm_obj_cpplint
2025-06-05T23:23:33.7592595Z [  1%] Built target openvino_intel_gpu_cm_obj_cpplint
2025-06-05T23:23:33.7593598Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/impls/common/register.hpp
2025-06-05T23:23:33.7594722Z [  1%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_common.hpp
2025-06-05T23:23:33.7595949Z [  1%] [cpplint] src/common/low_precision_transformations/src/fuse_convert.cpp
2025-06-05T23:23:33.7597247Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/border.cpp
2025-06-05T23:23:33.7598361Z [  1%] [cpplint] src/common/snippets/src/lowered/pass/clean_repeated_ptr_shifts.cpp
2025-06-05T23:23:33.7599667Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/impls/common/condition.cpp
2025-06-05T23:23:33.7600797Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/custom_layer.cpp
2025-06-05T23:23:33.7601877Z [  1%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_device.cpp
2025-06-05T23:23:33.7602929Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/graph.cpp
2025-06-05T23:23:33.7604102Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernel_selector_params.cpp
2025-06-05T23:23:33.7605666Z [  1%] [cpplint] src/common/low_precision_transformations/src/fuse_elementwise_to_fake_quantize.cpp
2025-06-05T23:23:33.7607048Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/broadcast.cpp
2025-06-05T23:23:33.7608151Z [  1%] [cpplint] src/common/snippets/src/lowered/pass/cleanup_loop_offsets.cpp
2025-06-05T23:23:33.7609434Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/impls/common/loop.cpp
2025-06-05T23:23:33.7610741Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/multi_tensor_variable_state.cpp
2025-06-05T23:23:33.7612271Z [  1%] [cpplint] src/common/low_precision_transformations/src/fuse_multiply_to_fake_quantize.cpp
2025-06-05T23:23:33.7613798Z [  1%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_device.hpp
2025-06-05T23:23:33.7615203Z [  1%] [cpplint] src/common/snippets/src/lowered/pass/compute_buffer_allocation_size.cpp
2025-06-05T23:23:33.7616654Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernel_selector_params.h
2025-06-05T23:23:33.7617825Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/bucketize.cpp
2025-06-05T23:23:36.1484087Z [  1%] [cpplint] src/common/low_precision_transformations/src/fuse_subtract_to_fake_quantize.cpp
2025-06-05T23:23:36.1485602Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/impls/common/register.cpp
2025-06-05T23:23:36.1486996Z [  1%] [cpplint] src/common/snippets/src/lowered/pass/define_buffer_clusters.cpp
2025-06-05T23:23:36.1488355Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/ops/adaptive_pooling.cpp
2025-06-05T23:23:36.1489782Z [  1%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_device_detector.cpp
2025-06-05T23:23:36.1491089Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/ops/batch_to_space.cpp
2025-06-05T23:23:36.1492445Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/compilation_context.cpp
2025-06-05T23:23:36.1493868Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/impls/common/wait_for_events.cpp
2025-06-05T23:23:36.1495268Z [  1%] [cpplint] src/common/low_precision_transformations/src/gather.cpp
2025-06-05T23:23:36.1496464Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/ops/broadcast.cpp
2025-06-05T23:23:36.1497646Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/ops/bucketize.cpp
2025-06-05T23:23:36.1498782Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/concatenation.cpp
2025-06-05T23:23:36.1500062Z [  1%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_device_detector.hpp
2025-06-05T23:23:36.1501488Z [  1%] [cpplint] src/common/snippets/src/lowered/pass/extract_loop_invariants.cpp
2025-06-05T23:23:36.1502705Z [  1%] [cpplint] openvino_intel_gpu_common_obj_cpplint
2025-06-05T23:23:36.1503495Z [  1%] Built target openvino_intel_gpu_common_obj_cpplint
2025-06-05T23:23:36.1504465Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/condition.cpp
2025-06-05T23:23:36.1505452Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/ops/concat.cpp
2025-06-05T23:23:36.1507115Z [  1%] [cpplint] src/common/low_precision_transformations/src/group_convolution.cpp
2025-06-05T23:23:36.1508488Z [  1%] [cpplint] src/common/low_precision_transformations/src/interpolate.cpp
2025-06-05T23:23:36.1509750Z [  1%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_engine.cpp
2025-06-05T23:23:36.1511060Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernel_selector_utils.cpp
2025-06-05T23:23:36.1512518Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernel_selector_utils.h
2025-06-05T23:23:36.1513784Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/ops/condition.cpp
2025-06-05T23:23:36.1514985Z [  1%] [cpplint] src/common/snippets/src/lowered/pass/fuse_loops.cpp
2025-06-05T23:23:36.1516225Z [  1%] [cpplint] src/common/low_precision_transformations/src/layer_transformation.cpp
2025-06-05T23:23:36.1517901Z [  1%] [cpplint] src/common/low_precision_transformations/src/low_precision.cpp
2025-06-05T23:23:36.1519084Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/convert_color.cpp
2025-06-05T23:23:36.1520510Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/activation/activation_kernel_base.cpp
2025-06-05T23:23:36.1521918Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/ops/constant.cpp
2025-06-05T23:23:36.1523061Z [  1%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_engine.hpp
2025-06-05T23:23:36.1524208Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/convolution.cpp
2025-06-05T23:23:36.1525691Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/activation/activation_kernel_base.h
2025-06-05T23:23:36.1527283Z [  1%] [cpplint] src/common/snippets/src/lowered/pass/init_buffers_default.cpp
2025-06-05T23:23:36.1528476Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/crop.cpp
2025-06-05T23:23:36.1530080Z [  1%] [cpplint] src/common/low_precision_transformations/src/markup_avg_pool_precision_preserved.cpp
2025-06-05T23:23:36.1531658Z [  1%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_engine_factory.hpp
2025-06-05T23:23:36.1533076Z [  1%] [cpplint] src/common/low_precision_transformations/src/markup_bias.cpp
2025-06-05T23:23:36.1534416Z [  1%] [cpplint] src/common/snippets/src/lowered/pass/init_live_ranges.cpp
2025-06-05T23:23:36.1536035Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/activation/activation_kernel_opt.cpp
2025-06-05T23:23:36.1537504Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/ops/convert.cpp
2025-06-05T23:23:36.1538712Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/ctc_greedy_decoder.cpp
2025-06-05T23:23:36.1540143Z [  1%] [cpplint] src/common/low_precision_transformations/src/markup_can_be_quantized.cpp
2025-06-05T23:23:36.1541511Z [  1%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_event.cpp
2025-06-05T23:23:36.1542639Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/ctc_loss.cpp
2025-06-05T23:23:36.1544085Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/activation/activation_kernel_opt.h
2025-06-05T23:23:36.1545582Z [  1%] [cpplint] src/common/snippets/src/lowered/pass/init_loops.cpp
2025-06-05T23:23:36.1546742Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/ops/convert_color.cpp
2025-06-05T23:23:36.1548312Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/activation/activation_kernel_ref.cpp
2025-06-05T23:23:36.1549739Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/cum_sum.cpp
2025-06-05T23:23:36.1551010Z [  1%] [cpplint] src/common/low_precision_transformations/src/markup_precisions.cpp
2025-06-05T23:23:36.1552397Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/custom_gpu_primitive.cpp
2025-06-05T23:23:36.1554209Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/activation/activation_kernel_ref.h
2025-06-05T23:23:36.1555679Z [  1%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_event.hpp
2025-06-05T23:23:36.1556918Z [  1%] [cpplint] src/common/snippets/src/lowered/pass/init_registers.cpp
2025-06-05T23:23:36.1558451Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/activation/activation_kernel_selector.cpp
2025-06-05T23:23:36.1559909Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/data.cpp
2025-06-05T23:23:36.1561012Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/ops/convolution.cpp
2025-06-05T23:23:36.1562205Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/debug_helper.cpp
2025-06-05T23:23:36.1563912Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/activation/activation_kernel_selector.h
2025-06-05T23:23:36.1565924Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/adaptive_pooling/adaptive_pooling_kernel_ref.cpp
2025-06-05T23:23:36.1567671Z [  1%] [cpplint] src/common/snippets/src/lowered/pass/insert_broadcastmove.cpp
2025-06-05T23:23:36.1568956Z [  1%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_ext.hpp
2025-06-05T23:23:36.1570417Z [  1%] [cpplint] src/common/low_precision_transformations/src/markup_quantization_granularity.cpp
2025-06-05T23:23:36.1571885Z [  1%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_kernel.hpp
2025-06-05T23:23:36.1573629Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/adaptive_pooling/adaptive_pooling_kernel_ref.h
2025-06-05T23:23:36.1575383Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/adaptive_pooling/adaptive_pooling_kernel_selector.cpp
2025-06-05T23:23:36.1577033Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/ops/ctc_greedy_decoder.cpp
2025-06-05T23:23:36.1578291Z [  1%] [cpplint] src/common/snippets/src/lowered/pass/insert_buffers.cpp
2025-06-05T23:23:36.1579532Z [  1%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_memory.cpp
2025-06-05T23:23:36.1580787Z [  1%] [cpplint] src/common/low_precision_transformations/src/mat_mul.cpp
2025-06-05T23:23:36.1582442Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/adaptive_pooling/adaptive_pooling_kernel_selector.h
2025-06-05T23:23:36.1584426Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/arg_max_min/arg_max_min_kernel_axis.cpp
2025-06-05T23:23:36.1585930Z [  1%] [cpplint] src/plugins/intel_gpu/src/graph/deconvolution.cpp
2025-06-05T23:23:36.1587099Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/ops/ctc_loss.cpp
2025-06-05T23:23:36.1588628Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/arg_max_min/arg_max_min_kernel_axis.h
2025-06-05T23:23:36.1590219Z [  1%] [cpplint] src/common/snippets/src/lowered/pass/insert_load_store.cpp
2025-06-05T23:23:36.1591549Z [  1%] [cpplint] src/common/low_precision_transformations/src/max_pool.cpp
2025-06-05T23:23:36.1593162Z [  1%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/arg_max_min/arg_max_min_kernel_base.cpp
2025-06-05T23:23:36.1594631Z [  1%] [cpplint] src/plugins/intel_gpu/src/plugin/ops/cum_sum.cpp
2025-06-05T23:23:36.1595804Z [  1%] [cpplint] src/plugins/intel_gpu/src/runtime/ocl/ocl_memory.hpp
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2025-06-05T23:24:04.9812297Z [ 19%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/deconvolution/deconvolution_kernel_b_fs_zyx_fsv16_dw.h
2025-06-05T23:24:04.9813647Z [ 19%] Built target libprotobuf-lite
2025-06-05T23:24:04.9814457Z [ 19%] Creating directories for 'onednn_gpu_build'
2025-06-05T23:24:04.9815318Z [ 19%] No download step for 'onednn_gpu_build'
2025-06-05T23:24:04.9816133Z [ 19%] No update step for 'onednn_gpu_build'
2025-06-05T23:24:04.9817326Z [ 19%] [cpplint] src/common/snippets/include/snippets/lowered/pass/validate_shapes.hpp
2025-06-05T23:24:04.9818489Z [ 19%] No patch step for 'onednn_gpu_build'
2025-06-05T23:24:04.9819387Z [ 19%] Performing configure step for 'onednn_gpu_build'
2025-06-05T23:24:04.9821074Z loading initial cache file /pytorch/executorch/openvino/build/src/plugins/intel_gpu/thirdparty/onednn_gpu_root/tmp/onednn_gpu_build-cache-Release.cmake
2025-06-05T23:24:04.9823584Z [ 19%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/message_lite.cc.o
2025-06-05T23:24:04.9825533Z [ 19%] [cpplint] src/common/snippets/include/snippets/lowered/pass/validate_unified_loops.hpp
2025-06-05T23:24:04.9826972Z [ 19%] [cpplint] src/plugins/intel_gpu/src/graph/include/dft_inst.h
2025-06-05T23:24:04.9828237Z [ 19%] [cpplint] src/plugins/intel_gpu/src/graph/include/dynamic_quantize_inst.h
2025-06-05T23:24:04.9829363Z -- The C compiler identification is GNU 9.5.0
2025-06-05T23:24:04.9830767Z [ 19%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/deconvolution/deconvolution_kernel_base.cpp
2025-06-05T23:24:04.9832582Z [ 19%] Building CXX object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/qladd.cpp.o
2025-06-05T23:24:04.9834099Z [ 19%] [cpplint] src/common/snippets/include/snippets/lowered/port_connector.hpp
2025-06-05T23:24:04.9835052Z -- The CXX compiler identification is GNU 9.5.0
2025-06-05T23:24:04.9836338Z [ 19%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/deconvolution/deconvolution_kernel_base.h
2025-06-05T23:24:04.9837437Z -- Detecting C compiler ABI info
2025-06-05T23:24:04.9838852Z [ 19%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/parse_context.cc.o
2025-06-05T23:24:04.9841373Z [ 19%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/repeated_field.cc.o
2025-06-05T23:24:04.9843106Z [ 19%] [cpplint] src/plugins/intel_gpu/src/graph/include/eltwise_inst.h
2025-06-05T23:24:04.9844796Z [ 19%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/deconvolution/deconvolution_kernel_bfyx_opt.cpp
2025-06-05T23:24:04.9846512Z [ 19%] [cpplint] src/common/snippets/include/snippets/lowered/port_descriptor.hpp
2025-06-05T23:24:04.9847454Z -- Detecting C compiler ABI info - done
2025-06-05T23:24:04.9848449Z [ 20%] [cpplint] src/plugins/intel_gpu/src/graph/include/embedding_bag_inst.h
2025-06-05T23:24:04.9849441Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-06-05T23:24:04.9850120Z -- Detecting C compile features
2025-06-05T23:24:04.9850867Z -- Detecting C compile features - done
2025-06-05T23:24:04.9852141Z [ 20%] Building CXX object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/qlmul.cpp.o
2025-06-05T23:24:04.9853303Z -- Detecting CXX compiler ABI info
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2025-06-05T23:24:04.9857123Z [ 20%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/stubs/bytestream.cc.o
2025-06-05T23:24:04.9859227Z [ 20%] [cpplint] src/plugins/intel_gpu/src/graph/include/experimental_detectron_detection_output_inst.hpp
2025-06-05T23:24:04.9861169Z [ 20%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/deconvolution/deconvolution_kernel_bfyx_opt.h
2025-06-05T23:24:04.9862367Z -- Detecting CXX compiler ABI info - done
2025-06-05T23:24:04.9863891Z [ 20%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/stubs/common.cc.o
2025-06-05T23:24:04.9865664Z [ 20%] [cpplint] src/common/snippets/include/snippets/lowered/reg_manager.hpp
2025-06-05T23:24:04.9866735Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-06-05T23:24:04.9867450Z -- Detecting CXX compile features
2025-06-05T23:24:04.9867996Z -- Detecting CXX compile features - done
2025-06-05T23:24:04.9869516Z [ 20%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/stubs/int128.cc.o
2025-06-05T23:24:04.9870773Z -- DNNL_TARGET_ARCH: X64
2025-06-05T23:24:04.9871230Z -- DNNL_LIBRARY_NAME: openvino_onednn_gpu
2025-06-05T23:24:04.9871833Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-06-05T23:24:04.9873395Z [ 20%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/deconvolution/deconvolution_kernel_imad_along_f_tile_bfx.cpp
2025-06-05T23:24:04.9875609Z [ 20%] [cpplint] src/plugins/intel_gpu/src/graph/include/experimental_detectron_generate_proposals_single_image_inst.hpp
2025-06-05T23:24:04.9877624Z [ 20%] [cpplint] src/plugins/intel_gpu/src/graph/include/experimental_detectron_prior_grid_generator_inst.h
2025-06-05T23:24:04.9879692Z [ 20%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/stubs/status.cc.o
2025-06-05T23:24:04.9881752Z [ 20%] Building CXX object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/qpostprocessor.cpp.o
2025-06-05T23:24:04.9882993Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-06-05T23:24:04.9883627Z -- Found Threads: TRUE  
2025-06-05T23:24:04.9884736Z [ 20%] [cpplint] src/common/snippets/include/snippets/lowered/specific_loop_iter_handlers.hpp
2025-06-05T23:24:04.9886422Z [ 20%] [cpplint] src/common/snippets/include/snippets/lowered/specific_loop_iter_types.hpp
2025-06-05T23:24:04.9887812Z [ 20%] [cpplint] src/common/snippets/include/snippets/op/brgemm.hpp
2025-06-05T23:24:06.3165603Z [ 20%] [cpplint] src/plugins/intel_gpu/src/graph/include/experimental_detectron_roi_feature_extractor_inst.hpp
2025-06-05T23:24:06.3167824Z [ 20%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/deconvolution/deconvolution_kernel_imad_along_f_tile_bfx.hpp
2025-06-05T23:24:06.3170100Z [ 20%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/stubs/statusor.cc.o
2025-06-05T23:24:06.3171874Z [ 20%] [cpplint] src/common/snippets/include/snippets/op/broadcastload.hpp
2025-06-05T23:24:06.3173288Z [ 20%] [cpplint] src/common/snippets/include/snippets/op/broadcastmove.hpp
2025-06-05T23:24:06.3174897Z [ 20%] Building CXX object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/qlgavgpool.cpp.o
2025-06-05T23:24:06.3176402Z [ 20%] [cpplint] src/common/snippets/include/snippets/op/buffer.hpp
2025-06-05T23:24:06.3178157Z [ 20%] [cpplint] src/plugins/intel_gpu/src/graph/include/experimental_detectron_topk_rois_inst.h
2025-06-05T23:24:06.3180234Z [ 20%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/stubs/stringpiece.cc.o
2025-06-05T23:24:06.3182466Z [ 20%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/deconvolution/deconvolution_kernel_imad_ref.cpp
2025-06-05T23:24:06.3184538Z [ 20%] Building CXX object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/qdwconv_kernelsize.cpp.o
2025-06-05T23:24:06.3186418Z [ 20%] Building CXX object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/dgemm.cpp.o
2025-06-05T23:24:06.3188017Z [ 20%] [cpplint] src/plugins/intel_gpu/src/graph/include/extract_image_patches_inst.h
2025-06-05T23:24:06.3189940Z [ 20%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/stubs/stringprintf.cc.o
2025-06-05T23:24:06.3191855Z [ 20%] [cpplint] src/common/snippets/include/snippets/op/convert_saturation.hpp
2025-06-05T23:24:06.3193613Z [ 20%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/deconvolution/deconvolution_kernel_imad_ref.hpp
2025-06-05T23:24:06.3195601Z [ 20%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/deconvolution/deconvolution_kernel_ref.cpp
2025-06-05T23:24:06.3196824Z -- Found OpenMP_C: -fopenmp (found version "4.5") 
2025-06-05T23:24:06.3197807Z [ 20%] [cpplint] src/plugins/intel_gpu/src/graph/include/eye_inst.h
2025-06-05T23:24:06.3199577Z [ 20%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/stubs/structurally_valid.cc.o
2025-06-05T23:24:06.3201446Z [ 20%] [cpplint] src/common/snippets/include/snippets/op/convert_truncation.hpp
2025-06-05T23:24:06.3203270Z [ 20%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/stubs/strutil.cc.o
2025-06-05T23:24:06.3205415Z [ 20%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/stubs/time.cc.o
2025-06-05T23:24:06.3207479Z [ 20%] Building CXX object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/qgemm_kernel_avx2.cpp.o
2025-06-05T23:24:06.3209357Z [ 20%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/deconvolution/deconvolution_kernel_ref.h
2025-06-05T23:24:06.3210499Z -- Found OpenMP_CXX: -fopenmp (found version "4.5") 
2025-06-05T23:24:06.3211135Z -- Found OpenMP: TRUE (found version "4.5")  
2025-06-05T23:24:06.3211691Z -- GPU support is enabled (OpenCL)
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2025-06-05T23:24:06.3214325Z [ 20%] [cpplint] src/plugins/intel_gpu/src/graph/include/fake_convert_inst.h
2025-06-05T23:24:06.3216264Z [ 20%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/deconvolution/deconvolution_kernel_selector.cpp
2025-06-05T23:24:06.3218446Z [ 20%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/wire_format_lite.cc.o
2025-06-05T23:24:06.3219734Z -- Looking for CL_VERSION_3_0 - not found
2025-06-05T23:24:06.3220224Z -- Looking for CL_VERSION_2_2
2025-06-05T23:24:06.3221551Z [ 20%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/deconvolution/deconvolution_kernel_selector.h
2025-06-05T23:24:06.3223171Z [ 20%] [cpplint] src/common/snippets/include/snippets/op/horizon_max.hpp
2025-06-05T23:24:06.3224699Z [ 20%] Building CXX object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/qgemm_kernel_sse.cpp.o
2025-06-05T23:24:06.3226298Z [ 20%] [cpplint] src/plugins/intel_gpu/src/graph/include/fully_connected_inst.h
2025-06-05T23:24:06.3227843Z [ 20%] [cpplint] src/plugins/intel_gpu/src/graph/include/gather_elements_inst.h
2025-06-05T23:24:06.3229283Z [ 20%] [cpplint] src/plugins/intel_gpu/src/graph/include/gather_inst.h
2025-06-05T23:24:06.3230102Z -- Looking for CL_VERSION_2_2 - not found
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2025-06-05T23:24:06.3231951Z [ 20%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/any.cc.o
2025-06-05T23:24:06.3233961Z [ 20%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/depth_to_space/depth_to_space_kernel_base.cpp
2025-06-05T23:24:06.3235490Z [ 20%] [cpplint] src/common/snippets/include/snippets/op/horizon_sum.hpp
2025-06-05T23:24:06.3237178Z [ 20%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/DgemmKernelSse2.S.o
2025-06-05T23:24:06.3238425Z -- Looking for CL_VERSION_2_1 - not found
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2025-06-05T23:24:06.3239893Z [ 20%] [cpplint] src/plugins/intel_gpu/src/graph/include/gather_nd_inst.h
2025-06-05T23:24:06.3241585Z [ 20%] Building CXX object thirdparty/level_zero/level-zero/source/utils/CMakeFiles/level_zero_utils.dir/logging.cpp.o
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2025-06-05T23:24:06.3245630Z [ 20%] Building CXX object thirdparty/gflags/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o
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2025-06-05T23:24:06.3249791Z [ 20%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/depth_to_space/depth_to_space_kernel_base.h
2025-06-05T23:24:06.3251765Z [ 20%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/SconvKernelSse2.S.o
2025-06-05T23:24:06.3253461Z [ 20%] [cpplint] src/common/snippets/include/snippets/op/kernel.hpp
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2025-06-05T23:24:06.3261880Z [ 20%] [cpplint] src/plugins/intel_gpu/src/graph/include/gather_tree_inst.h
2025-06-05T23:24:06.3263535Z [ 20%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/SgemmKernelAvx.S.o
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2025-06-05T23:24:06.3267924Z [ 20%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/SgemmKernelM1Avx.S.o
2025-06-05T23:24:06.3270107Z [ 20%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/SgemmKernelM1TransposeBAvx.S.o
2025-06-05T23:24:06.3272377Z [ 20%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/SgemmTransposePackB16x4Avx.S.o
2025-06-05T23:24:06.3274562Z [ 20%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/depth_to_space/depth_to_space_kernel_block2_opt.cpp
2025-06-05T23:24:06.3276102Z [ 20%] [cpplint] src/common/snippets/include/snippets/op/load.hpp
2025-06-05T23:24:06.3277918Z [ 20%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/SconvKernelAvx.S.o
2025-06-05T23:24:06.3279159Z -- Looking for CL_VERSION_1_2 - found
2025-06-05T23:24:06.3279680Z -- Found OpenCL headers: /usr/include
2025-06-05T23:24:06.3280455Z -- Found OpenCL: /usr/lib/x86_64-linux-gnu/libOpenCL.so (found version "1.2") 
2025-06-05T23:24:06.3282127Z [ 20%] Building CXX object thirdparty/gflags/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_completions.cc.o
2025-06-05T23:24:06.3283753Z [ 21%] Linking CXX static library ../../../../../lib/liblevel_zero_utils.a
2025-06-05T23:24:06.3285384Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/SpoolKernelAvx.S.o
2025-06-05T23:24:06.3287415Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/api.pb.cc.o
2025-06-05T23:24:06.3289031Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/gemm_inst.h
2025-06-05T23:24:06.3290702Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/SoftmaxKernelAvx.S.o
2025-06-05T23:24:06.3291897Z [ 21%] Built target level_zero_utils
2025-06-05T23:24:06.3292800Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/loop.hpp
2025-06-05T23:24:07.6494111Z [ 21%] Building CXX object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/intrinsics/avx/min_max_elements.cpp.o
2025-06-05T23:24:07.6496195Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/depth_to_space/depth_to_space_kernel_block2_opt.h
2025-06-05T23:24:07.6498222Z [ 21%] Linking CXX static library /pytorch/executorch/openvino/bin/intel64/Release/libgflags_nothreads.a
2025-06-05T23:24:07.6500114Z [ 21%] Building CXX object samples/cpp/common/format_reader/CMakeFiles/format_reader.dir/src/MnistUbyte.cpp.o
2025-06-05T23:24:07.6501353Z [ 21%] Built target gflags_nothreads_static
2025-06-05T23:24:07.6502622Z [ 21%] Building CXX object samples/cpp/common/format_reader/CMakeFiles/format_reader.dir/src/bmp.cpp.o
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2025-06-05T23:24:07.6506610Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/memory_access.hpp
2025-06-05T23:24:07.6508039Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/generate_proposals_inst.h
2025-06-05T23:24:07.6509764Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/depth_to_space/depth_to_space_kernel_ref.cpp
2025-06-05T23:24:07.6511839Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/QgemmU8S8KernelAvx2.S.o
2025-06-05T23:24:07.6513962Z [ 21%] Building CXX object samples/cpp/common/format_reader/CMakeFiles/format_reader.dir/src/format_reader.cpp.o
2025-06-05T23:24:07.6515591Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/grid_sample_inst.hpp
2025-06-05T23:24:07.6517787Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/QgemvU8S8KernelAvx2.S.o
2025-06-05T23:24:07.6519753Z [ 21%] Building CXX object samples/cpp/common/format_reader/CMakeFiles/format_reader.dir/src/npy.cpp.o
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2025-06-05T23:24:07.6523355Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/nop.hpp
2025-06-05T23:24:07.6525125Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/QgemvU8S8KernelAvxVnni.S.o
2025-06-05T23:24:07.6527209Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/depth_to_space/depth_to_space_kernel_ref.h
2025-06-05T23:24:07.6529711Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/QgemmU8X8KernelAvx2.S.o
2025-06-05T23:24:07.6532014Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/compiler/parser.cc.o
2025-06-05T23:24:07.6534353Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/descriptor.cc.o
2025-06-05T23:24:07.6536541Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/ConvSymKernelAvx2.S.o
2025-06-05T23:24:07.6538635Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/DgemmKernelFma3.S.o
2025-06-05T23:24:07.6540278Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/perf_count.hpp
2025-06-05T23:24:07.6541502Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/grn_inst.h
2025-06-05T23:24:07.6543122Z [ 21%] Building CXX object samples/cpp/common/format_reader/CMakeFiles/format_reader.dir/src/opencv_wrapper.cpp.o
2025-06-05T23:24:07.6545201Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/SgemmKernelFma3.S.o
2025-06-05T23:24:07.6546901Z -- Found Doxygen: /usr/bin/doxygen (found version "1.9.1") found components: doxygen missing components: dot
2025-06-05T23:24:07.6548786Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/SconvKernelFma3.S.o
2025-06-05T23:24:07.6550865Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/depth_to_space/depth_to_space_kernel_selector.cpp
2025-06-05T23:24:07.6552846Z [ 21%] Building CXX object samples/cpp/common/format_reader/CMakeFiles/format_reader.dir/src/yuv_nv12.cpp.o
2025-06-05T23:24:07.6554114Z -- Could NOT find Doxyrest (missing: DOXYREST_EXECUTABLE) 
2025-06-05T23:24:07.6555664Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/TransKernelFma3.S.o
2025-06-05T23:24:07.6557771Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/LogisticKernelFma3.S.o
2025-06-05T23:24:07.6559555Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/group_normalization_inst.h
2025-06-05T23:24:07.6561324Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/TanhKernelFma3.S.o
2025-06-05T23:24:07.6563368Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/depth_to_space/depth_to_space_kernel_selector.h
2025-06-05T23:24:07.6565427Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/ErfKernelFma3.S.o
2025-06-05T23:24:07.6567541Z [ 21%] Building CXX object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/intrinsics/avx2/qladd_avx2.cpp.o
2025-06-05T23:24:07.6569810Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/descriptor.pb.cc.o
2025-06-05T23:24:07.6571873Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/powerstatic.hpp
2025-06-05T23:24:07.6573860Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/descriptor_database.cc.o
2025-06-05T23:24:07.6575982Z [ 21%] Linking CXX static library /pytorch/executorch/openvino/bin/intel64/Release/libformat_reader.a
2025-06-05T23:24:07.6577549Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/input_layout_inst.h
2025-06-05T23:24:07.6579271Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/detection_output/detection_output_kernel_ref.cpp
2025-06-05T23:24:07.6580477Z [ 21%] Built target format_reader
2025-06-05T23:24:07.6581775Z [ 21%] Building C object samples/c/common/opencv_c_wrapper/CMakeFiles/opencv_c_wrapper.dir/src/bmp_reader.c.o
2025-06-05T23:24:07.6583613Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/rank_normalization.hpp
2025-06-05T23:24:07.6585503Z [ 21%] Building CXX object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/intrinsics/avx2/qdwconv_avx2.cpp.o
2025-06-05T23:24:07.6587695Z [ 21%] Building CXX object samples/c/common/opencv_c_wrapper/CMakeFiles/opencv_c_wrapper.dir/src/opencv_c_wrapper.cpp.o
2025-06-05T23:24:07.6589901Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/duration.pb.cc.o
2025-06-05T23:24:07.6592189Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/dynamic_message.cc.o
2025-06-05T23:24:07.6593961Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/json_object.h
2025-06-05T23:24:07.6595521Z [ 21%] Linking CXX static library /pytorch/executorch/openvino/bin/intel64/Release/libopencv_c_wrapper.a
2025-06-05T23:24:07.6596713Z [ 21%] Built target opencv_c_wrapper
2025-06-05T23:24:07.6597643Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/reduce.hpp
2025-06-05T23:24:07.6599043Z [ 21%] Building CXX object src/common/util/CMakeFiles/openvino_util.dir/src/codec_xor.cpp.o
2025-06-05T23:24:07.6600900Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/detection_output/detection_output_kernel_ref.h
2025-06-05T23:24:07.6602963Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/DgemmKernelAvx512F.S.o
2025-06-05T23:24:07.6604873Z [ 21%] Building CXX object src/common/util/CMakeFiles/openvino_util.dir/src/common_util.cpp.o
2025-06-05T23:24:07.6606312Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/kv_cache_inst.h
2025-06-05T23:24:07.6607569Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/layout_optimizer.h
2025-06-05T23:24:07.6608756Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/reg_spill.hpp
2025-06-05T23:24:07.6610331Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/SgemmKernelAvx512F.S.o
2025-06-05T23:24:07.6612456Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/SconvKernelAvx512F.S.o
2025-06-05T23:24:07.6614677Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/empty.pb.cc.o
2025-06-05T23:24:07.6616864Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/detection_output/detection_output_kernel_selector.cpp
2025-06-05T23:24:07.6618737Z [ 21%] Building CXX object src/common/util/CMakeFiles/openvino_util.dir/src/env_util.cpp.o
2025-06-05T23:24:07.6620644Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/SpoolKernelAvx512F.S.o
2025-06-05T23:24:07.6622812Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/TransKernelAvx512F.S.o
2025-06-05T23:24:07.6625119Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/detection_output/detection_output_kernel_selector.h
2025-06-05T23:24:07.6626806Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/reorder.hpp
2025-06-05T23:24:09.1795815Z [ 21%] Building CXX object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/intrinsics/avx512/quantize_avx512f.cpp.o
2025-06-05T23:24:09.1797576Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/loop_inst.h
2025-06-05T23:24:09.1799391Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/extension_set_heavy.cc.o
2025-06-05T23:24:09.1801386Z [ 21%] Building CXX object src/common/util/CMakeFiles/openvino_util.dir/src/file_path.cpp.o
2025-06-05T23:24:09.1802959Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/dft/dft_kernel_ref.cpp
2025-06-05T23:24:09.1805096Z [ 21%] Building CXX object thirdparty/level_zero/level-zero/source/CMakeFiles/ze_loader.dir/lib/ze_libapi.cpp.o
2025-06-05T23:24:09.1806653Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/reshape.hpp
2025-06-05T23:24:09.1808076Z [ 21%] Building CXX object src/common/util/CMakeFiles/openvino_util.dir/src/file_util.cpp.o
2025-06-05T23:24:09.1809965Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/QgemvU8S8KernelAvx512Core.S.o
2025-06-05T23:24:09.1812236Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/QgemvU8S8KernelAvx512Vnni.S.o
2025-06-05T23:24:09.1814597Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/QgemmU8X8KernelAvx512Core.S.o
2025-06-05T23:24:09.1816882Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/field_mask.pb.cc.o
2025-06-05T23:24:09.1818754Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/dft/dft_kernel_ref.h
2025-06-05T23:24:09.1820087Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/scalar.hpp
2025-06-05T23:24:09.1821643Z -- Found Python: /opt/conda/envs/py_3.10/bin/python3.10 (found suitable version "3.10.16", minimum required is "3.7") found components: Interpreter 
2025-06-05T23:24:09.1823929Z [ 21%] Building ASM object src/plugins/intel_cpu/thirdparty/mlas/CMakeFiles/mlas.dir/lib/x86_64/ConvSymKernelAvx512Core.S.o
2025-06-05T23:24:09.1825848Z [ 21%] Linking CXX static library /pytorch/executorch/openvino/bin/intel64/Release/libmlas.a
2025-06-05T23:24:09.1827392Z [ 21%] Building CXX object src/common/util/CMakeFiles/openvino_util.dir/src/log.cpp.o
2025-06-05T23:24:09.1828922Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/lrn_inst.h
2025-06-05T23:24:09.1830299Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/dft/dft_kernel_selector.cpp
2025-06-05T23:24:09.1832119Z [ 21%] Building CXX object thirdparty/level_zero/level-zero/source/CMakeFiles/ze_loader.dir/lib/ze_libddi.cpp.o
2025-06-05T23:24:09.1833248Z [ 21%] Built target mlas
2025-06-05T23:24:09.1834235Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/serialization_node.hpp
2025-06-05T23:24:09.1835649Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/shape_infer_op.hpp
2025-06-05T23:24:09.1837563Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/generated_message_bases.cc.o
2025-06-05T23:24:09.1839728Z [ 21%] Building CXX object src/common/util/CMakeFiles/openvino_util.dir/src/os/lin/lin_mmap_object.cpp.o
2025-06-05T23:24:09.1841257Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/lstm_cell_inst.h
2025-06-05T23:24:09.1842739Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/dft/dft_kernel_selector.h
2025-06-05T23:24:09.1844388Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/store.hpp
2025-06-05T23:24:09.1845603Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/lstm_seq_inst.h
2025-06-05T23:24:09.1847571Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/generated_message_reflection.cc.o
2025-06-05T23:24:09.1849845Z [ 21%] Building CXX object src/common/util/CMakeFiles/openvino_util.dir/src/os/lin/lin_shared_object_loader.cpp.o
2025-06-05T23:24:09.1851885Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/dynamic_quantize/dynamic_quantize_kernel_kv_cache.h
2025-06-05T23:24:09.1854002Z [ 21%] Building CXX object thirdparty/level_zero/level-zero/source/CMakeFiles/ze_loader.dir/lib/zet_libapi.cpp.o
2025-06-05T23:24:09.1855799Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/matrix_nms_inst.h
2025-06-05T23:24:09.1857066Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/subgraph.hpp
2025-06-05T23:24:09.1858362Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/memory_accessor.hpp
2025-06-05T23:24:09.1859631Z -- Found Sphinx: /opt/conda/envs/py_3.10/bin/sphinx-build (found version "sphinx-build 5.3.0") 
2025-06-05T23:24:09.1860651Z -- Found Git: /usr/bin/git (found version "2.34.1") 
2025-06-05T23:24:09.1861279Z -- Enabled testing coverage: CI
2025-06-05T23:24:09.1861775Z -- Enabled workload: INFERENCE
2025-06-05T23:24:09.1862848Z -- Enabled primitives: CONCAT;CONVOLUTION;DECONVOLUTION;INNER_PRODUCT;MATMUL;REORDER;POOLING;REDUCTION;SDPA;RNN
2025-06-05T23:24:09.1863956Z -- Enabled primitive CPU ISA: ALL
2025-06-05T23:24:09.1864620Z -- Enabled primitive GPU ISA: XELP;XEHP;XEHPG;XEHPC;XE2;XE3
2025-06-05T23:24:09.1865355Z -- Enabled GeMM kernels ISA: ALL
2025-06-05T23:24:09.1865863Z -- Primitive cache is enabled
2025-06-05T23:24:09.1866466Z -- Experimental profiling capabilities are enabled
2025-06-05T23:24:09.1868027Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/dynamic_quantize/dynamic_quantize_kernel_opt.cpp
2025-06-05T23:24:09.1869249Z -- The ASM compiler identification is GNU
2025-06-05T23:24:09.1869868Z -- Found assembler: /opt/cache/bin/cc
2025-06-05T23:24:09.1870873Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/multiclass_nms_inst.h
2025-06-05T23:24:09.1872403Z [ 21%] Building CXX object src/common/util/CMakeFiles/openvino_util.dir/src/weights_path.cpp.o
2025-06-05T23:24:09.1873857Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/multinomial_inst.h
2025-06-05T23:24:09.1874776Z -- Performing Test COMPILER_ALLOWS_ALIAS_ATTRIBUTES
2025-06-05T23:24:09.1876608Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/generated_message_tctable_full.cc.o
2025-06-05T23:24:09.1878623Z [ 21%] [cpplint] src/common/snippets/include/snippets/op/vector_buffer.hpp
2025-06-05T23:24:09.1879682Z -- Performing Test COMPILER_ALLOWS_ALIAS_ATTRIBUTES - Failed
2025-06-05T23:24:09.1880445Z -- GPU Compute reference kernels are enabled
2025-06-05T23:24:09.1881010Z -- Configuring done (4.5s)
2025-06-05T23:24:09.1882330Z [ 21%] Building CXX object thirdparty/level_zero/level-zero/source/CMakeFiles/ze_loader.dir/lib/zet_libddi.cpp.o
2025-06-05T23:24:09.1884426Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/dynamic_quantize/dynamic_quantize_kernel_opt.h
2025-06-05T23:24:09.1886319Z [ 21%] Building CXX object src/common/util/CMakeFiles/openvino_util.dir/src/wstring_convert_util.cpp.o
2025-06-05T23:24:09.1887837Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/mutable_data_inst.h
2025-06-05T23:24:09.1889043Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/mvn_inst.h
2025-06-05T23:24:09.1890363Z [ 21%] [cpplint] src/common/snippets/include/snippets/pass/align_element_types.hpp
2025-06-05T23:24:09.1892125Z [ 21%] Building CXX object src/common/util/CMakeFiles/openvino_util.dir/src/xml_parse_utils.cpp.o
2025-06-05T23:24:09.1894239Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/io/gzip_stream.cc.o
2025-06-05T23:24:09.1896398Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/dynamic_quantize/dynamic_quantize_kernel_opt_kv_cache.cpp
2025-06-05T23:24:09.1898195Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/non_max_suppression_inst.h
2025-06-05T23:24:09.1899103Z -- Generating done (0.1s)
2025-06-05T23:24:09.1899606Z CMake Warning:
2025-06-05T23:24:09.1900166Z   Manually-specified variables were not used by the project:
2025-06-05T23:24:09.1900728Z 
2025-06-05T23:24:09.1900907Z     CMAKE_POLICY_DEFAULT_CMP0069
2025-06-05T23:24:09.1901245Z 
2025-06-05T23:24:09.1901421Z 
2025-06-05T23:24:09.1902571Z -- Build files have been written to: /pytorch/executorch/openvino/build/src/plugins/intel_gpu/thirdparty/onednn_gpu_build
2025-06-05T23:24:09.1904618Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/dynamic_quantize/dynamic_quantize_kernel_ref.cpp
2025-06-05T23:24:09.1906721Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/io/printer.cc.o
2025-06-05T23:24:09.1908254Z [ 21%] Performing build step for 'onednn_gpu_build'
2025-06-05T23:24:09.1909570Z [ 21%] [cpplint] src/common/snippets/include/snippets/pass/analyze_broadcastable_inputs.hpp
2025-06-05T23:24:09.1911257Z [  0%] Building CXX object src/xpu/ocl/CMakeFiles/dnnl_xpu_ocl.dir/buffer_memory_storage.cpp.o
2025-06-05T23:24:09.1912974Z [ 21%] Linking CXX static library /pytorch/executorch/openvino/bin/intel64/Release/libopenvino_util.a
2025-06-05T23:24:09.1914027Z [ 21%] Built target openvino_util
2025-06-05T23:24:09.1915091Z [  0%] Building CXX object src/xpu/ocl/CMakeFiles/dnnl_xpu_ocl.dir/capi/engine.cpp.o
2025-06-05T23:24:09.1916819Z [ 21%] Building CXX object thirdparty/level_zero/level-zero/source/CMakeFiles/ze_loader.dir/lib/zes_libapi.cpp.o
2025-06-05T23:24:09.1918535Z [  0%] Building CXX object src/xpu/ocl/CMakeFiles/dnnl_xpu_ocl.dir/capi/memory.cpp.o
2025-06-05T23:24:09.1920092Z [ 21%] [cpplint] src/common/snippets/include/snippets/pass/broadcast_to_movebroadcast.hpp
2025-06-05T23:24:09.1922077Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/io/tokenizer.cc.o
2025-06-05T23:24:09.1924188Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/dynamic_quantize/dynamic_quantize_kernel_ref.h
2025-06-05T23:24:11.1371710Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/non_zero_inst.h
2025-06-05T23:24:11.1373565Z [ 21%] Building CXX object thirdparty/level_zero/level-zero/source/CMakeFiles/ze_loader.dir/lib/zes_libddi.cpp.o
2025-06-05T23:24:11.1375230Z [ 21%] [cpplint] src/common/snippets/include/snippets/pass/canonicalization.hpp
2025-06-05T23:24:11.1376984Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/dynamic_quantize/dynamic_quantize_kernel_selector.cpp
2025-06-05T23:24:11.1378788Z [ 21%] [cpplint] src/common/snippets/include/snippets/pass/collapse_subgraph.hpp
2025-06-05T23:24:11.1380636Z [ 21%] Building CXX object thirdparty/protobuf/protobuf/CMakeFiles/libprotobuf.dir/src/google/protobuf/map_field.cc.o
2025-06-05T23:24:11.1382501Z [  0%] Building CXX object src/xpu/ocl/CMakeFiles/dnnl_xpu_ocl.dir/capi/primitive.cpp.o
2025-06-05T23:24:11.1383919Z [ 21%] [cpplint] src/plugins/intel_gpu/src/graph/include/normalize_inst.h
2025-06-05T23:24:11.1385364Z [ 21%] [cpplint] src/common/snippets/include/snippets/pass/common_optimizations.hpp
2025-06-05T23:24:11.1387588Z [ 21%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/dynamic_quantize/dynamic_quantize_kernel_selector.h
2025-06-05T23:24:11.1389459Z [  0%] Building CXX object src/common/CMakeFiles/dnnl_common.dir/batch_normalization.cpp.o
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2025-06-05T23:24:22.7821645Z [ 30%] Building CXX object src/common/low_precision_transformations/CMakeFiles/openvino_lp_transformations_obj.dir/src/fake_quantize.cpp.o
2025-06-05T23:24:22.7823747Z In file included from /pytorch/executorch/openvino/src/inference/src/dev/threading/cpu_streams_executor.cpp:16:
2025-06-05T23:24:22.7825848Z /pytorch/executorch/openvino/src/inference/src/dev/threading/parallel_custom_arena.hpp:33:54: note: #pragma message: USE_TBBBIND_2_5 is disabled
2025-06-05T23:24:22.7827384Z    33 | #        pragma message("USE_TBBBIND_2_5 is disabled")
2025-06-05T23:24:22.7827997Z       |                                                      ^
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2025-06-05T23:24:24.4404236Z [ 30%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/gather/gather_nd_kernel_selector.h
2025-06-05T23:24:24.4405104Z In file included from /pytorch/executorch/openvino/src/inference/src/dev/threading/istreams_executor.cpp:18:
2025-06-05T23:24:24.4406292Z /pytorch/executorch/openvino/src/inference/src/dev/threading/parallel_custom_arena.hpp:33:54: note: #pragma message: USE_TBBBIND_2_5 is disabled
2025-06-05T23:24:24.4407408Z    33 | #        pragma message("USE_TBBBIND_2_5 is disabled")
2025-06-05T23:24:24.4408035Z       |                                                      ^
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2025-06-05T23:24:24.4438919Z [ 30%] Building CXX object src/core/reference/CMakeFiles/openvino_reference.dir/src/op/shuffle_channels.cpp.o
2025-06-05T23:24:24.4441242Z [ 30%] Building CXX object src/common/low_precision_transformations/CMakeFiles/openvino_lp_transformations_obj.dir/src/fold_fake_quantize.cpp.o
2025-06-05T23:24:24.4443232Z In file included from /pytorch/executorch/openvino/src/inference/src/dev/threading/parallel_custom_arena.cpp:4:
2025-06-05T23:24:24.4445312Z /pytorch/executorch/openvino/src/inference/src/dev/threading/parallel_custom_arena.hpp:33:54: note: #pragma message: USE_TBBBIND_2_5 is disabled
2025-06-05T23:24:24.4446892Z    33 | #        pragma message("USE_TBBBIND_2_5 is disabled")
2025-06-05T23:24:24.4447512Z       |                                                      ^
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2025-06-05T23:24:26.1279509Z [ 30%] [cpplint] src/plugins/intel_gpu/src/kernel_selector/kernels/gemm/gemm_kernel_mmad_int8_slm.cpp
2025-06-05T23:24:26.1281263Z In file included from /pytorch/executorch/openvino/src/inference/src/os/lin/lin_system_conf.cpp:14:
2025-06-05T23:24:26.1283045Z /pytorch/executorch/openvino/src/inference/src/dev/threading/parallel_custom_arena.hpp:33:54: note: #pragma message: USE_TBBBIND_2_5 is disabled
2025-06-05T23:24:26.1284397Z    33 | #        pragma message("USE_TBBBIND_2_5 is disabled")
2025-06-05T23:24:26.1284972Z       |                                                      ^
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2025-06-05T23:24:26.1305941Z In file included from /pytorch/executorch/openvino/src/inference/src/system_conf.cpp:31:
2025-06-05T23:24:26.1307680Z /pytorch/executorch/openvino/src/inference/src/dev/threading/parallel_custom_arena.hpp:33:54: note: #pragma message: USE_TBBBIND_2_5 is disabled
2025-06-05T23:24:26.1309115Z    33 | #        pragma message("USE_TBBBIND_2_5 is disabled")
2025-06-05T23:24:26.1309736Z       |                                                      ^
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2025-06-05T23:27:21.5285553Z [100%] Building CXX object src/plugins/intel_gpu/CMakeFiles/openvino_intel_gpu_plugin.dir/src/plugin/usm_host_tensor.cpp.o
2025-06-05T23:27:21.5286798Z [100%] Building CXX object src/plugins/intel_gpu/CMakeFiles/openvino_intel_gpu_plugin.dir/src/plugin/variable_state.cpp.o
2025-06-05T23:27:21.5288056Z [100%] Linking CXX shared module /pytorch/executorch/openvino/bin/intel64/Release/libopenvino_intel_gpu_plugin.so
2025-06-05T23:27:21.5289063Z [100%] Built target openvino_intel_gpu_plugin
2025-06-05T23:27:21.5289517Z + cd ..
2025-06-05T23:27:21.5289740Z + cmake --install build --prefix dist
2025-06-05T23:27:21.5290053Z -- Install configuration: "Release"
2025-06-05T23:27:21.5290677Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags
2025-06-05T23:27:21.5291496Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/CMakeLists.txt
2025-06-05T23:27:21.5292376Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags
2025-06-05T23:27:21.5293367Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/CMakeLists.txt
2025-06-05T23:27:21.5294401Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/COPYING.txt
2025-06-05T23:27:21.5295266Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/cmake
2025-06-05T23:27:21.5296436Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/cmake/README_runtime.txt
2025-06-05T23:27:21.5297656Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/cmake/cmake_uninstall.cmake.in
2025-06-05T23:27:21.5298793Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/cmake/config.cmake.in
2025-06-05T23:27:21.5299851Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/cmake/execute_test.cmake
2025-06-05T23:27:21.5300987Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/cmake/package.cmake.in
2025-06-05T23:27:21.5301966Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/cmake/package.pc.in
2025-06-05T23:27:21.5303033Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/cmake/utils.cmake
2025-06-05T23:27:21.5304047Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/cmake/version.cmake.in
2025-06-05T23:27:21.5305090Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/src
2025-06-05T23:27:21.5305975Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/src/config.h
2025-06-05T23:27:21.5306936Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/src/defines.h.in
2025-06-05T23:27:21.5307965Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/src/gflags.cc
2025-06-05T23:27:21.5308913Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/src/gflags.h.in
2025-06-05T23:27:21.5309937Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/src/gflags_completions.cc
2025-06-05T23:27:21.5311105Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/src/gflags_completions.h.in
2025-06-05T23:27:21.5312245Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/src/gflags_declare.h.in
2025-06-05T23:27:21.5313404Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/src/gflags_ns.h.in
2025-06-05T23:27:21.5314508Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/src/gflags_reporting.cc
2025-06-05T23:27:21.5315480Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/src/mutex.h
2025-06-05T23:27:21.5316452Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/src/util.h
2025-06-05T23:27:21.5317428Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/src/windows_port.cc
2025-06-05T23:27:21.5318568Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/gflags/gflags/src/windows_port.h
2025-06-05T23:27:21.5319462Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json
2025-06-05T23:27:21.5320342Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/CMakeLists.txt
2025-06-05T23:27:21.5321296Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/LICENSE.MIT
2025-06-05T23:27:21.5322101Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/LICENSES
2025-06-05T23:27:21.5322956Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/LICENSES/Apache-2.0.txt
2025-06-05T23:27:21.5323909Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/LICENSES/BSD-3-Clause.txt
2025-06-05T23:27:21.5324960Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/LICENSES/GPL-3.0-only.txt
2025-06-05T23:27:21.5325952Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/LICENSES/MIT.txt
2025-06-05T23:27:21.5326933Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/cmake
2025-06-05T23:27:21.5327908Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/cmake/ci.cmake
2025-06-05T23:27:21.5329375Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/cmake/config.cmake.in
2025-06-05T23:27:21.5330514Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/cmake/download_test_data.cmake
2025-06-05T23:27:21.5331953Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/cmake/nlohmann_jsonConfigVersion.cmake.in
2025-06-05T23:27:21.5333296Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/cmake/pkg-config.pc.in
2025-06-05T23:27:21.5334324Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/cmake/scripts
2025-06-05T23:27:21.5335495Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/cmake/scripts/gen_bazel_build_file.cmake
2025-06-05T23:27:21.5337024Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/cmake/test.cmake
2025-06-05T23:27:21.5338043Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include
2025-06-05T23:27:21.5339018Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann
2025-06-05T23:27:21.5340184Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/adl_serializer.hpp
2025-06-05T23:27:21.5341449Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/byte_container_with_subtype.hpp
2025-06-05T23:27:21.5342685Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail
2025-06-05T23:27:21.5343889Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/abi_macros.hpp
2025-06-05T23:27:21.5345128Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/conversions
2025-06-05T23:27:21.5346405Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/conversions/from_json.hpp
2025-06-05T23:27:21.5347780Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/conversions/to_chars.hpp
2025-06-05T23:27:21.5349094Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/conversions/to_json.hpp
2025-06-05T23:27:21.5350437Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/exceptions.hpp
2025-06-05T23:27:21.5351680Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/hash.hpp
2025-06-05T23:27:21.5353070Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/input
2025-06-05T23:27:21.5355080Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/input/binary_reader.hpp
2025-06-05T23:27:21.5356729Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/input/input_adapters.hpp
2025-06-05T23:27:21.5358074Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/input/json_sax.hpp
2025-06-05T23:27:21.5359468Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/input/lexer.hpp
2025-06-05T23:27:21.5360766Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/input/parser.hpp
2025-06-05T23:27:21.5361989Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/input/position_t.hpp
2025-06-05T23:27:21.5363297Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/iterators
2025-06-05T23:27:21.5364574Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/iterators/internal_iterator.hpp
2025-06-05T23:27:21.5366044Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/iterators/iter_impl.hpp
2025-06-05T23:27:21.5367303Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/iterators/iteration_proxy.hpp
2025-06-05T23:27:21.5368708Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/iterators/iterator_traits.hpp
2025-06-05T23:27:21.5370087Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/iterators/json_reverse_iterator.hpp
2025-06-05T23:27:21.5371475Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/iterators/primitive_iterator.hpp
2025-06-05T23:27:21.5372776Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/json_custom_base_class.hpp
2025-06-05T23:27:21.5374101Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/json_pointer.hpp
2025-06-05T23:27:21.5375271Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/json_ref.hpp
2025-06-05T23:27:21.5376362Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/macro_scope.hpp
2025-06-05T23:27:21.5377609Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/macro_unscope.hpp
2025-06-05T23:27:21.5378764Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/meta
2025-06-05T23:27:21.5379840Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/meta/call_std
2025-06-05T23:27:21.5381070Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/meta/call_std/begin.hpp
2025-06-05T23:27:21.5382336Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/meta/call_std/end.hpp
2025-06-05T23:27:21.5383575Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/meta/cpp_future.hpp
2025-06-05T23:27:21.5384837Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/meta/detected.hpp
2025-06-05T23:27:21.5386065Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/meta/identity_tag.hpp
2025-06-05T23:27:21.5387247Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/meta/is_sax.hpp
2025-06-05T23:27:21.5388593Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/meta/std_fs.hpp
2025-06-05T23:27:21.5389754Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/meta/type_traits.hpp
2025-06-05T23:27:21.5390925Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/meta/void_t.hpp
2025-06-05T23:27:21.5392017Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/output
2025-06-05T23:27:21.5393269Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/output/binary_writer.hpp
2025-06-05T23:27:21.5394520Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/output/output_adapters.hpp
2025-06-05T23:27:21.5395906Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/output/serializer.hpp
2025-06-05T23:27:21.5397105Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/string_concat.hpp
2025-06-05T23:27:21.5398273Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/string_escape.hpp
2025-06-05T23:27:21.5399398Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/detail/value_t.hpp
2025-06-05T23:27:21.5400552Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/json.hpp
2025-06-05T23:27:21.5401616Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/json_fwd.hpp
2025-06-05T23:27:21.5402682Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/ordered_map.hpp
2025-06-05T23:27:21.5403727Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/thirdparty
2025-06-05T23:27:21.5404836Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/thirdparty/hedley
2025-06-05T23:27:21.5405994Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/thirdparty/hedley/hedley.hpp
2025-06-05T23:27:21.5407282Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/include/nlohmann/thirdparty/hedley/hedley_undef.hpp
2025-06-05T23:27:21.5408398Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/nlohmann_json.natvis
2025-06-05T23:27:21.5409319Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/single_include
2025-06-05T23:27:21.5410544Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/single_include/nlohmann
2025-06-05T23:27:21.5411868Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/single_include/nlohmann/json.hpp
2025-06-05T23:27:21.5413096Z -- Installing: /pytorch/executorch/openvino/dist/samples/cpp/thirdparty/nlohmann_json/single_include/nlohmann/json_fwd.hpp
2025-06-05T23:27:21.5414040Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib
2025-06-05T23:27:21.5414813Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc.so.2.13
2025-06-05T23:27:21.5415679Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbbind_2_5.so
2025-06-05T23:27:21.5416639Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc_proxy.so.2
2025-06-05T23:27:21.5417605Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc_proxy.so
2025-06-05T23:27:21.5418491Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbb.so.12.13
2025-06-05T23:27:21.5419475Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbbind_2_5.so.3.13
2025-06-05T23:27:21.5420360Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbbind_2_5.so.3
2025-06-05T23:27:21.5421196Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libhwloc.so.15
2025-06-05T23:27:21.5421995Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libhwloc.so.15.6.4
2025-06-05T23:27:21.5422816Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/pkgconfig
2025-06-05T23:27:21.5423631Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/pkgconfig/tbb.pc
2025-06-05T23:27:21.5424487Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc_proxy.so.2.13
2025-06-05T23:27:21.5425344Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc.so
2025-06-05T23:27:21.5426226Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbb.so.12
2025-06-05T23:27:21.5427127Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libhwloc.so
2025-06-05T23:27:21.5428122Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbb.so
2025-06-05T23:27:21.5429099Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc.so.2
2025-06-05T23:27:21.5429927Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/TBB-LICENSE
2025-06-05T23:27:21.5430721Z -- Installing: /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/cmake
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2025-06-05T23:27:21.6098726Z -- Set runtime path of "dist/runtime/lib/intel64/libopenvino_ir_frontend.so.2025.1.0" to ""
2025-06-05T23:27:21.6099514Z -- Installing: /pytorch/executorch/openvino/dist/runtime/lib/intel64/libopenvino_onnx_frontend.so.2025.1.0
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2025-06-05T23:27:21.6101946Z -- Installing: /pytorch/executorch/openvino/dist/runtime/lib/intel64/libopenvino_onnx_frontend.so
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2025-06-05T23:27:21.6107692Z -- Installing: /pytorch/executorch/openvino/dist/runtime/include/openvino/frontend/onnx/frontend.hpp
2025-06-05T23:27:21.6108556Z -- Installing: /pytorch/executorch/openvino/dist/runtime/include/openvino/frontend/onnx/node_context.hpp
2025-06-05T23:27:21.6109423Z -- Installing: /pytorch/executorch/openvino/dist/runtime/include/openvino/frontend/onnx/visibility.hpp
2025-06-05T23:27:21.6110326Z -- Installing: /pytorch/executorch/openvino/dist/runtime/lib/intel64/libopenvino_pytorch_frontend.so.2025.1.0
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2025-06-05T23:27:21.6112055Z -- Set runtime path of "dist/runtime/lib/intel64/libopenvino_pytorch_frontend.so.2025.1.0" to ""
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2025-06-05T23:27:21.8013845Z -- Installing: /pytorch/executorch/openvino/dist/runtime/include/openvino/frontend/pytorch/visibility.hpp
2025-06-05T23:27:21.8014801Z -- Installing: /pytorch/executorch/openvino/dist/runtime/include/openvino/frontend/pytorch/decoder.hpp
2025-06-05T23:27:21.8016027Z -- Installing: /pytorch/executorch/openvino/dist/runtime/lib/intel64/libopenvino_tensorflow_frontend.so.2025.1.0
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2025-06-05T23:27:21.8019473Z -- Installing: /pytorch/executorch/openvino/dist/runtime/lib/intel64/libopenvino_tensorflow_frontend.so
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2025-06-05T23:27:21.8024478Z -- Installing: /pytorch/executorch/openvino/dist/runtime/include/openvino/frontend/tensorflow/exception.hpp
2025-06-05T23:27:21.8025502Z -- Installing: /pytorch/executorch/openvino/dist/runtime/include/openvino/frontend/tensorflow/extension
2025-06-05T23:27:21.8026808Z -- Installing: /pytorch/executorch/openvino/dist/runtime/include/openvino/frontend/tensorflow/extension/conversion.hpp
2025-06-05T23:27:21.8028021Z -- Installing: /pytorch/executorch/openvino/dist/runtime/include/openvino/frontend/tensorflow/extension/op.hpp
2025-06-05T23:27:21.8029407Z -- Installing: /pytorch/executorch/openvino/dist/runtime/include/openvino/frontend/tensorflow/frontend.hpp
2025-06-05T23:27:21.8030637Z -- Installing: /pytorch/executorch/openvino/dist/runtime/include/openvino/frontend/tensorflow/graph_iterator.hpp
2025-06-05T23:27:21.8031755Z -- Installing: /pytorch/executorch/openvino/dist/runtime/include/openvino/frontend/tensorflow/hash_table.hpp
2025-06-05T23:27:21.8032772Z -- Installing: /pytorch/executorch/openvino/dist/runtime/include/openvino/frontend/tensorflow/node_context.hpp
2025-06-05T23:27:21.8033730Z -- Installing: /pytorch/executorch/openvino/dist/runtime/include/openvino/frontend/tensorflow/special_types.hpp
2025-06-05T23:27:21.8034676Z -- Installing: /pytorch/executorch/openvino/dist/runtime/include/openvino/frontend/tensorflow/variable.hpp
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2025-06-05T23:27:21.8037907Z -- Installing: /pytorch/executorch/openvino/dist/runtime/lib/intel64/libopenvino_tensorflow_lite_frontend.so.2025.1.0
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2025-06-05T23:27:21.8040258Z -- Set runtime path of "dist/runtime/lib/intel64/libopenvino_tensorflow_lite_frontend.so.2025.1.0" to ""
2025-06-05T23:27:21.8041114Z -- Installing: /pytorch/executorch/openvino/dist/runtime/lib/intel64/libopenvino_tensorflow_lite_frontend.so
2025-06-05T23:27:21.8041939Z -- Up-to-date: /pytorch/executorch/openvino/dist/runtime/include/openvino
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2025-06-05T23:27:21.8055585Z -- Installing: /pytorch/executorch/openvino/dist/runtime/lib/intel64/libopenvino_paddle_frontend.so.2025.1.0
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2025-06-05T23:27:21.8070570Z -- Set runtime path of "dist/runtime/lib/intel64/libopenvino_auto_plugin.so" to ""
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2025-06-05T23:27:21.8078364Z -- Installing: /pytorch/executorch/openvino/dist/runtime/lib/intel64/cache.json
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2025-06-05T23:27:21.8080559Z -- Installing: /pytorch/executorch/openvino/dist/tools/compile_tool/compile_tool
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2025-06-05T23:27:21.8082001Z -- Installing: /pytorch/executorch/openvino/dist/tools/compile_tool/README.md
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2025-06-05T23:27:21.8083151Z -- Up-to-date: /pytorch/executorch/openvino/dist/runtime/include/openvino
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2025-06-05T23:27:21.8960878Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/__main__.py
2025-06-05T23:27:21.8961786Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/cli_parser.py
2025-06-05T23:27:21.8962697Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/convert.py
2025-06-05T23:27:21.8963501Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/convert_data_type.py
2025-06-05T23:27:21.8964409Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/environment_setup_utils.py
2025-06-05T23:27:21.8965178Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/error.py
2025-06-05T23:27:21.8966248Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/get_ov_update_message.py
2025-06-05T23:27:21.8967144Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/help.py
2025-06-05T23:27:21.8967819Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/logger.py
2025-06-05T23:27:21.8968475Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/main.py
2025-06-05T23:27:21.8969160Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/moc_frontend
2025-06-05T23:27:21.8969980Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/moc_frontend/__init__.py
2025-06-05T23:27:21.8970801Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/moc_frontend/analysis.py
2025-06-05T23:27:21.8971649Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/moc_frontend/check_config.py
2025-06-05T23:27:21.8972567Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/moc_frontend/extractor.py
2025-06-05T23:27:21.8973541Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/moc_frontend/jax_frontend_utils.py
2025-06-05T23:27:21.8974445Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/moc_frontend/layout_utils.py
2025-06-05T23:27:21.8975291Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/moc_frontend/moc_emit_ir.py
2025-06-05T23:27:21.8976215Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/moc_frontend/offline_transformations.py
2025-06-05T23:27:21.8977177Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/moc_frontend/paddle_frontend_utils.py
2025-06-05T23:27:21.8978075Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/moc_frontend/pipeline.py
2025-06-05T23:27:21.8978940Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/moc_frontend/preprocessing.py
2025-06-05T23:27:21.8979866Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/moc_frontend/pytorch_frontend_utils.py
2025-06-05T23:27:21.8980787Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/moc_frontend/shape_utils.py
2025-06-05T23:27:21.8981626Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/moc_frontend/type_utils.py
2025-06-05T23:27:21.8982378Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/ovc.py
2025-06-05T23:27:21.8983098Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/telemetry_params.py
2025-06-05T23:27:21.8983856Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/telemetry_stub.py
2025-06-05T23:27:21.8984622Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/telemetry_utils.py
2025-06-05T23:27:21.8985335Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/utils.py
2025-06-05T23:27:21.8986019Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/version.py
2025-06-05T23:27:21.8986716Z -- Installing: /pytorch/executorch/openvino/dist/python/openvino/tools/ovc/convert_impl.py
2025-06-05T23:27:21.8987332Z -- Installing: /pytorch/executorch/openvino/dist/./setupvars.sh
2025-06-05T23:27:21.8987996Z -- Installing: /pytorch/executorch/openvino/dist/install_dependencies/install_openvino_dependencies.sh
2025-06-05T23:27:21.8988619Z -- Installing: /pytorch/executorch/openvino/dist/licenses
2025-06-05T23:27:21.8989194Z -- Installing: /pytorch/executorch/openvino/dist/licenses/onednn_third-party-programs.txt
2025-06-05T23:27:21.8989912Z -- Installing: /pytorch/executorch/openvino/dist/licenses/onetbb_third-party-programs.txt
2025-06-05T23:27:21.8990655Z -- Installing: /pytorch/executorch/openvino/dist/licenses/runtime-third-party-programs.txt
2025-06-05T23:27:21.8991190Z + source dist/setupvars.sh
2025-06-05T23:27:21.8991449Z +++ abs_path dist/setupvars.sh
2025-06-05T23:27:21.8991797Z ++++ eval echo dist/setupvars.sh
2025-06-05T23:27:21.8992064Z +++++ echo dist/setupvars.sh
2025-06-05T23:27:21.8992344Z +++ script_path=dist/setupvars.sh
2025-06-05T23:27:21.8992623Z ++++ dirname dist/setupvars.sh
2025-06-05T23:27:21.8992887Z +++ directory=dist
2025-06-05T23:27:21.8993097Z +++ builtin cd dist
2025-06-05T23:27:21.8993334Z +++ pwd -P
2025-06-05T23:27:21.8993567Z ++ SCRIPT_DIR=/pytorch/executorch/openvino/dist
2025-06-05T23:27:21.8993930Z ++ INSTALLDIR=/pytorch/executorch/openvino/dist
2025-06-05T23:27:31.4139607Z ++ export INTEL_OPENVINO_DIR=/pytorch/executorch/openvino/dist
2025-06-05T23:27:31.4140480Z ++ INTEL_OPENVINO_DIR=/pytorch/executorch/openvino/dist
2025-06-05T23:27:31.4140828Z ++ '[' 0 -gt 0 ']'
2025-06-05T23:27:31.4141118Z ++ '[' -e /pytorch/executorch/openvino/dist/runtime ']'
2025-06-05T23:27:31.4141587Z ++ export OpenVINO_DIR=/pytorch/executorch/openvino/dist/runtime/cmake
2025-06-05T23:27:31.4142337Z ++ OpenVINO_DIR=/pytorch/executorch/openvino/dist/runtime/cmake
2025-06-05T23:27:31.4143005Z ++ '[' -f /pytorch/executorch/openvino/dist/runtime/cmake/OpenVINOGenAIConfig.cmake ']'
2025-06-05T23:27:31.4143704Z +++ /bin/ls /pytorch/executorch/openvino/dist/runtime/lib/
2025-06-05T23:27:31.4144096Z ++ system_type=intel64
2025-06-05T23:27:31.4144450Z ++ OV_PLUGINS_PATH=/pytorch/executorch/openvino/dist/runtime/lib/intel64
2025-06-05T23:27:31.4144881Z ++ [[ linux-gnu == \d\a\r\w\i\n* ]]
2025-06-05T23:27:31.4145368Z ++ export LD_LIBRARY_PATH=/pytorch/executorch/openvino/dist/runtime/lib/intel64
2025-06-05T23:27:31.4145921Z ++ LD_LIBRARY_PATH=/pytorch/executorch/openvino/dist/runtime/lib/intel64
2025-06-05T23:27:31.4146536Z ++ export PKG_CONFIG_PATH=/pytorch/executorch/openvino/dist/runtime/lib/intel64/pkgconfig
2025-06-05T23:27:31.4147184Z ++ PKG_CONFIG_PATH=/pytorch/executorch/openvino/dist/runtime/lib/intel64/pkgconfig
2025-06-05T23:27:31.4147751Z ++ '[' -e /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb ']'
2025-06-05T23:27:31.4148402Z ++ tbb_lib_path=/pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib
2025-06-05T23:27:31.4149046Z ++ '[' -d /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/intel64 ']'
2025-06-05T23:27:31.4154025Z ++ /bin/ls /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbb.so /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbb.so.12 /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbb.so.12.13 /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbbind_2_5.so /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbbind_2_5.so.3 /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbbind_2_5.so.3.13 /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc.so /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc.so.2 /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc.so.2.13 /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc_proxy.so /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc_proxy.so.2 /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc_proxy.so.2.13
2025-06-05T23:27:31.4158868Z ++ [[ linux-gnu == \d\a\r\w\i\n* ]]
2025-06-05T23:27:31.4159698Z ++ export LD_LIBRARY_PATH=/pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib:/pytorch/executorch/openvino/dist/runtime/lib/intel64
2025-06-05T23:27:31.4160839Z ++ LD_LIBRARY_PATH=/pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib:/pytorch/executorch/openvino/dist/runtime/lib/intel64
2025-06-05T23:27:31.4161541Z ++ unset tbb_lib_path
2025-06-05T23:27:31.4161981Z ++ '[' -e /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/cmake/TBB ']'
2025-06-05T23:27:31.4162618Z ++ export TBB_DIR=/pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/cmake/TBB
2025-06-05T23:27:31.4163266Z ++ TBB_DIR=/pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/cmake/TBB
2025-06-05T23:27:31.4163706Z ++ unset system_type
2025-06-05T23:27:31.4164047Z ++ '[' -f /pytorch/executorch/openvino/dist/opencv/setupvars.sh ']'
2025-06-05T23:27:31.4164717Z ++ '[' -f /pytorch/executorch/openvino/dist/extras/opencv/setupvars.sh ']'
2025-06-05T23:27:31.4165115Z ++ OS_NAME=
2025-06-05T23:27:31.4165329Z ++ command -v lsb_release
2025-06-05T23:27:31.4165573Z ++ PYTHON_VERSION_MAJOR=3
2025-06-05T23:27:31.4165842Z ++ MIN_REQUIRED_PYTHON_VERSION_MINOR=9
2025-06-05T23:27:31.4166144Z ++ MAX_SUPPORTED_PYTHON_VERSION_MINOR=13
2025-06-05T23:27:31.4166452Z ++ python_version_to_check=
2025-06-05T23:27:31.4166690Z ++ '[' -z '' ']'
2025-06-05T23:27:31.4166923Z ++ python_version_to_check=3
2025-06-05T23:27:31.4167173Z ++ command -v python3
2025-06-05T23:27:31.4167413Z ++ check_python_version
2025-06-05T23:27:31.4167650Z ++ '[' -z '' ']'
2025-06-05T23:27:31.4167931Z +++ python3 -c 'import sys; print(str(sys.version_info[0]))'
2025-06-05T23:27:31.4168301Z ++ python_version_major=3
2025-06-05T23:27:31.4168608Z +++ python3 -c 'import sys; print(str(sys.version_info[1]))'
2025-06-05T23:27:31.4169041Z ++ python_version_minor=10
2025-06-05T23:27:31.4169291Z ++ python_version=3.10
2025-06-05T23:27:31.4169519Z ++ '[' 3 '!=' 3 ']'
2025-06-05T23:27:31.4169719Z ++ '[' 10 -lt 9 ']'
2025-06-05T23:27:31.4169935Z ++ '[' 10 -gt 13 ']'
2025-06-05T23:27:31.4170159Z ++ command -v python3.10
2025-06-05T23:27:31.4170419Z ++ python_interp=python3.10
2025-06-05T23:27:31.4170786Z +++ python3.10 -c 'import sys; print(64 if sys.maxsize > 2**32 else 32)'
2025-06-05T23:27:31.4171166Z ++ python_bitness=64
2025-06-05T23:27:31.4171400Z ++ unset python_interp
2025-06-05T23:27:31.4171621Z ++ '[' 64 '!=' '' ']'
2025-06-05T23:27:31.4171841Z ++ '[' 64 '!=' 64 ']'
2025-06-05T23:27:31.4172055Z ++ unset python_bitness
2025-06-05T23:27:31.4172293Z ++ '[' -n 3.10 ']'
2025-06-05T23:27:31.4172544Z ++ [[ -d /pytorch/executorch/openvino/dist/python ]]
2025-06-05T23:27:31.4173098Z ++ export PYTHONPATH=/pytorch/executorch/openvino/dist/python/python3:
2025-06-05T23:27:31.4173611Z ++ PYTHONPATH=/pytorch/executorch/openvino/dist/python/python3:
2025-06-05T23:27:31.4174330Z ++ export PYTHONPATH=/pytorch/executorch/openvino/dist/python:/pytorch/executorch/openvino/dist/python/python3:
2025-06-05T23:27:31.4175230Z ++ PYTHONPATH=/pytorch/executorch/openvino/dist/python:/pytorch/executorch/openvino/dist/python/python3:
2025-06-05T23:27:31.4175799Z ++ unset python_version
2025-06-05T23:27:31.4176069Z ++ unset python_version_to_check
2025-06-05T23:27:31.4176339Z ++ unset PYTHON_VERSION_MAJOR
2025-06-05T23:27:31.4176629Z ++ unset MIN_REQUIRED_PYTHON_VERSION_MINOR
2025-06-05T23:27:31.4176954Z ++ unset MAX_SUPPORTED_PYTHON_VERSION_MINOR
2025-06-05T23:27:31.4177254Z ++ unset OS_NAME
2025-06-05T23:27:31.4177532Z ++ echo '[setupvars.sh] OpenVINO environment initialized'
2025-06-05T23:27:31.4177940Z [setupvars.sh] OpenVINO environment initialized
2025-06-05T23:27:31.4178273Z + cd ../backends/openvino
2025-06-05T23:27:31.4178529Z + pip install -r requirements.txt
2025-06-05T23:27:31.4178868Z Collecting nncf (from -r requirements.txt (line 2))
2025-06-05T23:27:31.4179622Z   Cloning https://github.com/openvinotoolkit/nncf (to revision 6b0fc1c) to /tmp/pip-install-_9xr89iu/nncf_d81aa834e3dd4a31844d9d0ac58ade15
2025-06-05T23:27:31.4180784Z   Running command git clone --filter=blob:none --quiet https://github.com/openvinotoolkit/nncf /tmp/pip-install-_9xr89iu/nncf_d81aa834e3dd4a31844d9d0ac58ade15
2025-06-05T23:27:31.4181963Z   WARNING: Did not find branch or tag '6b0fc1c', assuming revision or ref.
2025-06-05T23:27:31.4182487Z   Running command git checkout -q 6b0fc1c
2025-06-05T23:27:31.4182924Z   Resolved https://github.com/openvinotoolkit/nncf to commit 6b0fc1c
2025-06-05T23:27:31.4183460Z   Installing build dependencies ... [?25l- \ done
2025-06-05T23:27:31.4183943Z [?25h  Getting requirements to build wheel ... [?25l- done
2025-06-05T23:27:31.4184435Z [?25h  Preparing metadata (pyproject.toml) ... [?25l- done
2025-06-05T23:27:31.4185380Z [?25hRequirement already satisfied: transformers in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements.txt (line 1)) (4.47.1)
2025-06-05T23:27:31.4186346Z Collecting jsonschema>=3.2.0 (from nncf->-r requirements.txt (line 2))
2025-06-05T23:27:31.4186887Z   Downloading jsonschema-4.24.0-py3-none-any.whl.metadata (7.8 kB)
2025-06-05T23:27:31.4187425Z Collecting jstyleson>=0.0.2 (from nncf->-r requirements.txt (line 2))
2025-06-05T23:27:31.4187858Z   Downloading jstyleson-0.0.2.tar.gz (2.0 kB)
2025-06-05T23:27:31.4188283Z   Preparing metadata (setup.py) ... [?25l- done
2025-06-05T23:27:31.4188804Z [?25hCollecting natsort>=7.1.0 (from nncf->-r requirements.txt (line 2))
2025-06-05T23:27:31.4189335Z   Downloading natsort-8.4.0-py3-none-any.whl.metadata (21 kB)
2025-06-05T23:27:31.4190189Z Requirement already satisfied: networkx<3.5.0,>=2.6 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from nncf->-r requirements.txt (line 2)) (3.4.2)
2025-06-05T23:27:31.4191052Z Collecting ninja<1.12,>=1.10.0.post2 (from nncf->-r requirements.txt (line 2))
2025-06-05T23:27:31.4191774Z   Downloading ninja-1.11.1.4-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.metadata (5.0 kB)
2025-06-05T23:27:31.4192736Z Requirement already satisfied: numpy<2.3.0,>=1.24.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from nncf->-r requirements.txt (line 2)) (2.2.6)
2025-06-05T23:27:31.4193631Z Collecting openvino-telemetry>=2023.2.0 (from nncf->-r requirements.txt (line 2))
2025-06-05T23:27:31.4194256Z   Downloading openvino_telemetry-2025.1.0-py3-none-any.whl.metadata (2.3 kB)
2025-06-05T23:27:31.4195155Z Requirement already satisfied: packaging>=20.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from nncf->-r requirements.txt (line 2)) (25.0)
2025-06-05T23:27:31.4196308Z Requirement already satisfied: pandas<2.3,>=1.1.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from nncf->-r requirements.txt (line 2)) (2.2.3)
2025-06-05T23:27:31.4197117Z Collecting psutil (from nncf->-r requirements.txt (line 2))
2025-06-05T23:27:31.4197879Z   Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (22 kB)
2025-06-05T23:27:31.4198678Z Collecting py-cpuinfo>=9.0.0 (from nncf->-r requirements.txt (line 2))
2025-06-05T23:27:31.4199214Z   Downloading py_cpuinfo-9.0.0-py3-none-any.whl.metadata (794 bytes)
2025-06-05T23:27:31.4199730Z Collecting pydot<=3.0.4,>=1.4.1 (from nncf->-r requirements.txt (line 2))
2025-06-05T23:27:31.4200234Z   Downloading pydot-3.0.4-py3-none-any.whl.metadata (10 kB)
2025-06-05T23:27:31.4200709Z Collecting pymoo>=0.6.0.1 (from nncf->-r requirements.txt (line 2))
2025-06-05T23:27:31.4201348Z   Downloading pymoo-0.6.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.0 kB)
2025-06-05T23:27:31.4201984Z Collecting rich>=13.5.2 (from nncf->-r requirements.txt (line 2))
2025-06-05T23:27:31.4202449Z   Downloading rich-14.0.0-py3-none-any.whl.metadata (18 kB)
2025-06-05T23:27:31.4203285Z Requirement already satisfied: safetensors>=0.4.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from nncf->-r requirements.txt (line 2)) (0.5.3)
2025-06-05T23:27:31.4204162Z Collecting scikit-learn>=0.24.0 (from nncf->-r requirements.txt (line 2))
2025-06-05T23:27:31.4204857Z   Downloading scikit_learn-1.7.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (17 kB)
2025-06-05T23:27:31.4205506Z Collecting scipy>=1.3.2 (from nncf->-r requirements.txt (line 2))
2025-06-05T23:27:31.4206134Z   Downloading scipy-1.15.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)
2025-06-05T23:27:31.4206783Z Collecting tabulate>=0.9.0 (from nncf->-r requirements.txt (line 2))
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2025-06-05T23:27:38.4336182Z Building wheels for collected packages: nncf, jstyleson, grapheme
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2025-06-05T23:27:38.4341969Z   DEPRECATION: Building 'jstyleson' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'jstyleson'. Discussion can be found at https://github.com/pypa/pip/issues/6334
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2025-06-05T23:27:38.4345143Z [?25h  Created wheel for jstyleson: filename=jstyleson-0.0.2-py3-none-any.whl size=2421 sha256=4177aadee0d6fe3489e8264178a060e3b07cee56447ba17bc64df539e941b826
2025-06-05T23:27:38.4346243Z   Stored in directory: /var/lib/ci-user/.cache/pip/wheels/12/51/c6/a1e751db88203e11c6d9ffe4683ca3d8c14b1479639bec1006
2025-06-05T23:27:38.4348794Z   DEPRECATION: Building 'grapheme' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'grapheme'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-06-05T23:27:38.4350821Z   Building wheel for grapheme (setup.py) ... [?25l- done
2025-06-05T23:27:38.4351804Z [?25h  Created wheel for grapheme: filename=grapheme-0.6.0-py3-none-any.whl size=210138 sha256=2984238653c0734001ba15fd6b36c3c77c8040c5f691901e2df4e4e0eabc2366
2025-06-05T23:27:38.4352879Z   Stored in directory: /var/lib/ci-user/.cache/pip/wheels/01/e1/49/37e6bde9886439057450c494a79b0bef8bbe897a54aebfc757
2025-06-05T23:27:38.4353537Z Successfully built nncf jstyleson grapheme
2025-06-05T23:27:38.4354926Z Installing collected packages: py-cpuinfo, openvino-telemetry, jstyleson, grapheme, wrapt, threadpoolctl, tabulate, scipy, rpds-py, pydot, psutil, ninja, natsort, joblib, dill, cma, autograd, about-time, scikit-learn, rich, referencing, Deprecated, alive-progress, pymoo, jsonschema-specifications, jsonschema, nncf
2025-06-05T23:27:38.4356327Z [?25l
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2025-06-05T23:27:38.4359806Z    ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [scipy]
2025-06-05T23:27:38.4360378Z    ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [scipy]
2025-06-05T23:27:38.4360966Z    ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [scipy]
2025-06-05T23:27:38.4361555Z    ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [scipy]
2025-06-05T23:27:38.4362149Z    ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [scipy]
2025-06-05T23:27:38.4362736Z    ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [scipy]
2025-06-05T23:27:38.4363388Z    ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [scipy]
2025-06-05T23:27:38.4364087Z    ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [scipy]
2025-06-05T23:27:38.4364662Z    ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [scipy]
2025-06-05T23:27:38.4365251Z    ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [scipy]
2025-06-05T23:27:38.4365840Z    ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [scipy]
2025-06-05T23:27:38.4366414Z    ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [scipy]
2025-06-05T23:27:38.4366999Z    ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [scipy]
2025-06-05T23:27:38.4367569Z    ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 11/27 [ninja]
2025-06-05T23:27:43.5350979Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [dill]
2025-06-05T23:27:43.5351664Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 15/27 [cma]
2025-06-05T23:27:43.5352271Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 18/27 [scikit-learn]
2025-06-05T23:27:43.5352893Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 18/27 [scikit-learn]
2025-06-05T23:27:43.5353488Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 18/27 [scikit-learn]
2025-06-05T23:27:43.5354097Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 18/27 [scikit-learn]
2025-06-05T23:27:43.5354702Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 18/27 [scikit-learn]
2025-06-05T23:27:43.5355294Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 18/27 [scikit-learn]
2025-06-05T23:27:43.5355921Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 18/27 [scikit-learn]
2025-06-05T23:27:43.5356786Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 18/27 [scikit-learn]
2025-06-05T23:27:43.5357394Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 18/27 [scikit-learn]
2025-06-05T23:27:43.5358000Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 18/27 [scikit-learn]
2025-06-05T23:27:43.5358592Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 20/27 [referencing]
2025-06-05T23:27:43.5359182Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 23/27 [pymoo]
2025-06-05T23:27:43.5359743Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 23/27 [pymoo]
2025-06-05T23:27:43.5360311Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [nncf]
2025-06-05T23:27:43.5361034Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [nncf]
2025-06-05T23:27:43.5361581Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [nncf]
2025-06-05T23:27:43.5362133Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [nncf]
2025-06-05T23:27:43.5362674Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [nncf]
2025-06-05T23:27:43.5363211Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 27/27 [nncf]
2025-06-05T23:27:43.5363576Z [?25h
2025-06-05T23:27:43.5365801Z Successfully installed Deprecated-1.2.18 about-time-4.2.1 alive-progress-3.2.0 autograd-1.8.0 cma-4.2.0 dill-0.4.0 grapheme-0.6.0 joblib-1.5.1 jsonschema-4.24.0 jsonschema-specifications-2025.4.1 jstyleson-0.0.2 natsort-8.4.0 ninja-1.11.1.4 nncf-2.16.0.dev0+6b0fc1ce openvino-telemetry-2025.1.0 psutil-7.0.0 py-cpuinfo-9.0.0 pydot-3.0.4 pymoo-0.6.1.5 referencing-0.36.2 rich-14.0.0 rpds-py-0.25.1 scikit-learn-1.7.0 scipy-1.15.3 tabulate-0.9.0 threadpoolctl-3.6.0 wrapt-1.17.2
2025-06-05T23:27:43.5367708Z + cd scripts
2025-06-05T23:27:43.5367951Z + ./openvino_build.sh --enable_python
2025-06-05T23:27:43.5368254Z EXECUTORCH_ROOT=/pytorch/executorch
2025-06-05T23:27:43.5368565Z Building Python Package with Pybinding
2025-06-05T23:27:43.5368865Z Cleaning build artifacts...
2025-06-05T23:27:43.5369132Z Cleaning pip-out/...
2025-06-05T23:27:43.5369370Z Done cleaning build artifacts.
2025-06-05T23:27:43.5369760Z 2025-06-05 23:27:42,059 [ExecuTorch] INFO: All required submodules are present.
2025-06-05T23:27:43.5370386Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-06-05T23:27:43.5370901Z Collecting torch==2.8.0.dev20250601
2025-06-05T23:27:43.5371638Z   Downloading https://download.pytorch.org/whl/nightly/cpu/torch-2.8.0.dev20250601%2Bcpu-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (28 kB)
2025-06-05T23:27:43.5372395Z Collecting torchvision==0.23.0.dev20250601
2025-06-05T23:27:43.5373357Z   Downloading https://download.pytorch.org/whl/nightly/cpu/torchvision-0.23.0.dev20250601%2Bcpu-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (6.2 kB)
2025-06-05T23:27:43.5374164Z Collecting torchaudio==2.8.0.dev20250601
2025-06-05T23:27:43.5374956Z   Downloading https://download.pytorch.org/whl/nightly/cpu/torchaudio-2.8.0.dev20250601%2Bcpu-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (7.2 kB)
2025-06-05T23:27:43.5375853Z Collecting timm==1.0.7 (from -r requirements-examples.txt (line 3))
2025-06-05T23:27:43.5376409Z   Downloading timm-1.0.7-py3-none-any.whl.metadata (47 kB)
2025-06-05T23:27:43.5377281Z Requirement already satisfied: torchsr==1.0.4 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-examples.txt (line 4)) (1.0.4)
2025-06-05T23:27:43.5378147Z Collecting torchtune>=0.6.1 (from -r requirements-examples.txt (line 5))
2025-06-05T23:27:43.5378763Z   Downloading torchtune-0.6.1-py3-none-any.whl.metadata (24 kB)
2025-06-05T23:27:43.5379649Z Requirement already satisfied: transformers==4.47.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-examples.txt (line 6)) (4.47.1)
2025-06-05T23:27:43.5380541Z Collecting cmake<4.0.0,>=3.19 (from -r requirements-dev.txt (line 1))
2025-06-05T23:27:43.5381178Z   Downloading cmake-3.31.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.3 kB)
2025-06-05T23:27:43.5382088Z Requirement already satisfied: pip>=23 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 2)) (25.1)
2025-06-05T23:27:43.5383193Z Requirement already satisfied: pyyaml in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 3)) (6.0.1)
2025-06-05T23:27:43.5384331Z Requirement already satisfied: setuptools>=63 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 4)) (78.1.1)
2025-06-05T23:27:43.5385462Z Requirement already satisfied: tomli in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 5)) (2.0.1)
2025-06-05T23:27:43.5386564Z Requirement already satisfied: wheel in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 6)) (0.45.1)
2025-06-05T23:27:43.5387653Z Requirement already satisfied: zstd in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 7)) (1.5.5.1)
2025-06-05T23:27:43.5388733Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.8.0.dev20250601) (3.18.0)
2025-06-05T23:27:43.5389846Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.8.0.dev20250601) (4.14.0)
2025-06-05T23:27:43.5390945Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.8.0.dev20250601) (1.14.0)
2025-06-05T23:27:43.5391990Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.8.0.dev20250601) (3.4.2)
2025-06-05T23:27:43.5393024Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.8.0.dev20250601) (3.1.6)
2025-06-05T23:27:43.5394037Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.8.0.dev20250601) (2025.5.1)
2025-06-05T23:27:43.5395092Z Requirement already satisfied: numpy in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torchvision==0.23.0.dev20250601) (2.2.6)
2025-06-05T23:27:43.5396187Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torchvision==0.23.0.dev20250601) (11.2.1)
2025-06-05T23:27:43.5397411Z Requirement already satisfied: huggingface_hub in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from timm==1.0.7->-r requirements-examples.txt (line 3)) (0.32.4)
2025-06-05T23:27:46.5330541Z Requirement already satisfied: safetensors in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from timm==1.0.7->-r requirements-examples.txt (line 3)) (0.5.3)
2025-06-05T23:27:46.5333314Z Requirement already satisfied: packaging>=20.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 6)) (25.0)
2025-06-05T23:27:46.5335900Z Requirement already satisfied: regex!=2019.12.17 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 6)) (2024.11.6)
2025-06-05T23:27:46.5338527Z Requirement already satisfied: requests in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 6)) (2.32.3)
2025-06-05T23:27:46.5340944Z Requirement already satisfied: tokenizers<0.22,>=0.21 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 6)) (0.21.1)
2025-06-05T23:27:46.5343811Z Requirement already satisfied: tqdm>=4.27 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 6)) (4.67.1)
2025-06-05T23:27:46.5346368Z Requirement already satisfied: hf-xet<2.0.0,>=1.1.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from huggingface_hub->timm==1.0.7->-r requirements-examples.txt (line 3)) (1.1.3)
2025-06-05T23:27:46.5348294Z Collecting torchdata==0.11.0 (from torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:27:46.5349422Z   Downloading torchdata-0.11.0-py3-none-any.whl.metadata (6.3 kB)
2025-06-05T23:27:46.5350499Z Collecting datasets (from torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:27:46.5351574Z   Downloading datasets-3.6.0-py3-none-any.whl.metadata (19 kB)
2025-06-05T23:27:46.5352639Z Collecting kagglehub (from torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:27:46.5353751Z   Downloading kagglehub-0.3.12-py3-none-any.whl.metadata (38 kB)
2025-06-05T23:27:46.5354867Z Collecting sentencepiece (from torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:27:46.5356544Z   Downloading https://download.pytorch.org/whl/nightly/sentencepiece-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)
2025-06-05T23:27:46.5358624Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/1.3 MB ? eta -:--:--
2025-06-05T23:27:46.5359827Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 MB 146.8 MB/s eta 0:00:00
2025-06-05T23:27:46.5361142Z [?25hCollecting tiktoken (from torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:27:46.5362565Z   Downloading tiktoken-0.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.7 kB)
2025-06-05T23:27:46.5363938Z Collecting blobfile>=2 (from torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:27:46.5365321Z   Downloading https://download.pytorch.org/whl/nightly/blobfile-3.0.0-py3-none-any.whl (75 kB)
2025-06-05T23:27:46.5366655Z Collecting omegaconf (from torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:27:46.5367890Z   Downloading https://download.pytorch.org/whl/nightly/omegaconf-2.3.0-py3-none-any.whl (79 kB)
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2025-06-05T23:27:54.0319093Z Downloading tiktoken-0.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB)
2025-06-05T23:27:54.0319894Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/1.2 MB ? eta -:--:--
2025-06-05T23:27:54.0320559Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 125.9 MB/s eta 0:00:00
2025-06-05T23:27:54.0321154Z [?25hBuilding wheels for collected packages: antlr4-python3-runtime
2025-06-05T23:27:54.0324005Z   DEPRECATION: Building 'antlr4-python3-runtime' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'antlr4-python3-runtime'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-06-05T23:27:54.0326398Z   Building wheel for antlr4-python3-runtime (setup.py) ... [?25l- done
2025-06-05T23:27:54.0327573Z [?25h  Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.9.3-py3-none-any.whl size=144590 sha256=b535b5d134b18b7f120423ea2626cf3d0502259f47f86c7874b7525aa985c90a
2025-06-05T23:27:54.0329001Z   Stored in directory: /var/lib/ci-user/.cache/pip/wheels/8e/0c/ef/6e1004d7898c3e61c08b70be9a80232ee72e7c55c9a9bffa33
2025-06-05T23:27:54.0329668Z Successfully built antlr4-python3-runtime
2025-06-05T23:27:54.0331248Z Installing collected packages: sentencepiece, antlr4-python3-runtime, xxhash, pycryptodomex, pyarrow, propcache, omegaconf, multidict, hf-transfer, fsspec, frozenlist, dill, cmake, async-timeout, aiohappyeyeballs, yarl, torch, tiktoken, multiprocess, kagglehub, blobfile, aiosignal, torchvision, torchdata, torchaudio, aiohttp, timm, datasets, torchtune
2025-06-05T23:27:54.0332852Z [?25l
2025-06-05T23:27:54.0333364Z    ━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/29 [pycryptodomex]
2025-06-05T23:27:54.0333983Z    ━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/29 [pycryptodomex]
2025-06-05T23:27:54.0334591Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/29 [pyarrow]
2025-06-05T23:27:54.0335187Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/29 [pyarrow]
2025-06-05T23:27:54.0335765Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/29 [pyarrow]
2025-06-05T23:27:54.0336351Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/29 [pyarrow]
2025-06-05T23:27:54.0336928Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/29 [pyarrow]
2025-06-05T23:27:54.0337544Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/29 [pyarrow]
2025-06-05T23:27:54.0338155Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/29 [pyarrow]
2025-06-05T23:27:54.0338597Z   Attempting uninstall: fsspec
2025-06-05T23:27:54.0339092Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/29 [pyarrow]
2025-06-05T23:27:54.0339579Z     Found existing installation: fsspec 2025.5.1
2025-06-05T23:27:54.0340116Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/29 [pyarrow]
2025-06-05T23:27:54.0340566Z     Uninstalling fsspec-2025.5.1:
2025-06-05T23:27:54.0341044Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/29 [pyarrow]
2025-06-05T23:27:54.0341629Z    ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/29 [fsspec]
2025-06-05T23:27:54.0342097Z       Successfully uninstalled fsspec-2025.5.1
2025-06-05T23:27:54.0342764Z    ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/29 [fsspec]
2025-06-05T23:27:54.0343477Z    ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/29 [fsspec]
2025-06-05T23:27:54.0343922Z   Attempting uninstall: dill
2025-06-05T23:27:54.0344398Z    ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/29 [fsspec]
2025-06-05T23:27:54.0344855Z     Found existing installation: dill 0.4.0
2025-06-05T23:27:54.0345376Z    ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/29 [fsspec]
2025-06-05T23:27:54.0345802Z     Uninstalling dill-0.4.0:
2025-06-05T23:27:54.0346275Z    ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/29 [fsspec]
2025-06-05T23:27:54.0346725Z       Successfully uninstalled dill-0.4.0
2025-06-05T23:27:54.0347231Z    ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/29 [fsspec]
2025-06-05T23:27:54.0347829Z    ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 12/29 [cmake]
2025-06-05T23:27:54.0348415Z    ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 12/29 [cmake]
2025-06-05T23:27:54.0348990Z    ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 12/29 [cmake]
2025-06-05T23:27:54.0349552Z    ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 12/29 [cmake]
2025-06-05T23:27:54.0350129Z    ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 12/29 [cmake]
2025-06-05T23:27:54.0350701Z    ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 12/29 [cmake]
2025-06-05T23:27:54.0351123Z   Attempting uninstall: torch
2025-06-05T23:27:54.0351602Z    ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 12/29 [cmake]
2025-06-05T23:27:54.0352213Z     Found existing installation: torch 2.8.0a0+git5616fa4
2025-06-05T23:27:54.0352789Z    ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 12/29 [cmake]
2025-06-05T23:27:54.0353429Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:27:54.0354005Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:27:54.0354469Z     Uninstalling torch-2.8.0a0+git5616fa4:
2025-06-05T23:27:54.0354962Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:27:54.0355534Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:27:54.0356096Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4832041Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4832932Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4833588Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4834156Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4834733Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4835296Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4835872Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4836432Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4837002Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4837598Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4838181Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4838752Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4839262Z       Successfully uninstalled torch-2.8.0a0+git5616fa4
2025-06-05T23:28:01.4839813Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4840389Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4840985Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4841548Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4842125Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4842708Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4843422Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4844004Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4844569Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4845152Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4845719Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4846299Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4846865Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4847514Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4848114Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4848681Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4849260Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4849823Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4850397Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4850972Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4851540Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4852138Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4852766Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4853428Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4854004Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4854569Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4855148Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4855709Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4856281Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4856926Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4857509Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4858085Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:01.4858646Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2939828Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2940490Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2941068Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2941655Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2942304Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2942899Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2943480Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2944063Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2944626Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2945205Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2945768Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2946343Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2947160Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2947868Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2948447Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2949011Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2949593Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2950166Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2950729Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2951306Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2951885Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2952479Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2953056Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2953618Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2954262Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 16/29 [torch]
2025-06-05T23:28:07.2954981Z    ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 18/29 [multiprocess]
2025-06-05T23:28:07.2955513Z   Attempting uninstall: torchvision
2025-06-05T23:28:07.2956077Z    ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 18/29 [multiprocess]
2025-06-05T23:28:07.2956692Z     Found existing installation: torchvision 0.22.0a0+966da7e
2025-06-05T23:28:07.2957358Z    ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 18/29 [multiprocess]
2025-06-05T23:28:07.2958000Z     Uninstalling torchvision-0.22.0a0+966da7e:
2025-06-05T23:28:07.2958551Z    ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 18/29 [multiprocess]
2025-06-05T23:28:07.2959201Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 22/29 [torchvision]
2025-06-05T23:28:07.2959870Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 22/29 [torchvision]
2025-06-05T23:28:07.2960525Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 22/29 [torchvision]
2025-06-05T23:28:07.2961107Z       Successfully uninstalled torchvision-0.22.0a0+966da7e
2025-06-05T23:28:07.2961736Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 22/29 [torchvision]
2025-06-05T23:28:07.2962436Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 22/29 [torchvision]
2025-06-05T23:28:07.2963094Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 22/29 [torchvision]
2025-06-05T23:28:07.2963602Z   Attempting uninstall: torchaudio
2025-06-05T23:28:07.2964165Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 22/29 [torchvision]
2025-06-05T23:28:07.2964717Z     Found existing installation: torchaudio 2.6.0a0+1a8f621
2025-06-05T23:28:07.2965321Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 22/29 [torchvision]
2025-06-05T23:28:07.2965869Z     Uninstalling torchaudio-2.6.0a0+1a8f621:
2025-06-05T23:28:07.2966444Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 22/29 [torchvision]
2025-06-05T23:28:07.2967092Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 24/29 [torchaudio]
2025-06-05T23:28:07.2967711Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 24/29 [torchaudio]
2025-06-05T23:28:07.2968304Z       Successfully uninstalled torchaudio-2.6.0a0+1a8f621
2025-06-05T23:28:07.2968920Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 24/29 [torchaudio]
2025-06-05T23:28:07.2969558Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 24/29 [torchaudio]
2025-06-05T23:28:07.2970200Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 25/29 [aiohttp]
2025-06-05T23:28:20.3026321Z   Attempting uninstall: timm
2025-06-05T23:28:20.3034588Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 25/29 [aiohttp]
2025-06-05T23:28:20.3035106Z     Found existing installation: timm 0.6.13
2025-06-05T23:28:20.3035624Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 25/29 [aiohttp]
2025-06-05T23:28:20.3036073Z     Uninstalling timm-0.6.13:
2025-06-05T23:28:20.3036584Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 25/29 [aiohttp]
2025-06-05T23:28:20.3037464Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 26/29 [timm]
2025-06-05T23:28:20.3038032Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 26/29 [timm]
2025-06-05T23:28:20.3038481Z       Successfully uninstalled timm-0.6.13
2025-06-05T23:28:20.3038981Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 26/29 [timm]
2025-06-05T23:28:20.3039522Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 26/29 [timm]
2025-06-05T23:28:20.3040083Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 26/29 [timm]
2025-06-05T23:28:20.3040634Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 26/29 [timm]
2025-06-05T23:28:20.3041190Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 27/29 [datasets]
2025-06-05T23:28:20.3041909Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 28/29 [torchtune]
2025-06-05T23:28:20.3042484Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 28/29 [torchtune]
2025-06-05T23:28:20.3043032Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 29/29 [torchtune]
2025-06-05T23:28:20.3043390Z [?25h
2025-06-05T23:28:20.3045928Z Successfully installed aiohappyeyeballs-2.6.1 aiohttp-3.12.9 aiosignal-1.3.2 antlr4-python3-runtime-4.9.3 async-timeout-5.0.1 blobfile-3.0.0 cmake-3.31.6 datasets-3.6.0 dill-0.3.8 frozenlist-1.6.2 fsspec-2025.3.0 hf-transfer-0.1.9 kagglehub-0.3.12 multidict-6.4.4 multiprocess-0.70.16 omegaconf-2.3.0 propcache-0.3.1 pyarrow-20.0.0 pycryptodomex-3.23.0 sentencepiece-0.2.0 tiktoken-0.9.0 timm-1.0.7 torch-2.8.0.dev20250601+cpu torchaudio-2.8.0.dev20250601+cpu torchdata-0.11.0 torchtune-0.6.1 torchvision-0.19.1 xxhash-3.5.0 yarl-1.20.0
2025-06-05T23:28:20.3048122Z Processing ./third-party/ao
2025-06-05T23:28:20.3048534Z   Preparing metadata (setup.py) ... [?25l- done
2025-06-05T23:28:20.3048953Z [?25hProcessing ./extension/llm/tokenizers
2025-06-05T23:28:20.3049410Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-06-05T23:28:20.3050301Z [?25hRequirement already satisfied: tiktoken in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pytorch_tokenizers==0.1.0) (0.9.0)
2025-06-05T23:28:20.3051408Z Requirement already satisfied: tokenizers in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pytorch_tokenizers==0.1.0) (0.21.1)
2025-06-05T23:28:20.3052501Z Requirement already satisfied: sentencepiece in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pytorch_tokenizers==0.1.0) (0.2.0)
2025-06-05T23:28:20.3053742Z Requirement already satisfied: regex>=2022.1.18 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from tiktoken->pytorch_tokenizers==0.1.0) (2024.11.6)
2025-06-05T23:28:20.3054944Z Requirement already satisfied: requests>=2.26.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from tiktoken->pytorch_tokenizers==0.1.0) (2.32.3)
2025-06-05T23:28:20.3056426Z Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests>=2.26.0->tiktoken->pytorch_tokenizers==0.1.0) (3.4.2)
2025-06-05T23:28:20.3057748Z Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests>=2.26.0->tiktoken->pytorch_tokenizers==0.1.0) (3.10)
2025-06-05T23:28:20.3059013Z Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests>=2.26.0->tiktoken->pytorch_tokenizers==0.1.0) (2.4.0)
2025-06-05T23:28:20.3060319Z Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests>=2.26.0->tiktoken->pytorch_tokenizers==0.1.0) (2025.4.26)
2025-06-05T23:28:20.3061698Z Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from tokenizers->pytorch_tokenizers==0.1.0) (0.32.4)
2025-06-05T23:28:20.3063032Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers->pytorch_tokenizers==0.1.0) (3.18.0)
2025-06-05T23:28:20.3064418Z Requirement already satisfied: fsspec>=2023.5.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers->pytorch_tokenizers==0.1.0) (2025.3.0)
2025-06-05T23:28:20.3065829Z Requirement already satisfied: packaging>=20.9 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers->pytorch_tokenizers==0.1.0) (25.0)
2025-06-05T23:28:20.3067227Z Requirement already satisfied: pyyaml>=5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers->pytorch_tokenizers==0.1.0) (6.0.1)
2025-06-05T23:28:20.3068592Z Requirement already satisfied: tqdm>=4.42.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers->pytorch_tokenizers==0.1.0) (4.67.1)
2025-06-05T23:28:20.3070032Z Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers->pytorch_tokenizers==0.1.0) (4.14.0)
2025-06-05T23:28:20.3071475Z Requirement already satisfied: hf-xet<2.0.0,>=1.1.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers->pytorch_tokenizers==0.1.0) (1.1.3)
2025-06-05T23:28:20.3072420Z Building wheels for collected packages: torchao, pytorch_tokenizers
2025-06-05T23:28:20.3074825Z   DEPRECATION: Building 'torchao' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchao'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-06-05T23:28:20.3076921Z   Building wheel for torchao (setup.py) ... [?25l- \ | / - \ done
2025-06-05T23:28:20.3078058Z [?25h  Created wheel for torchao: filename=torchao-0.12.0+gitbc68b11-cp39-abi3-linux_x86_64.whl size=955965 sha256=d0731c9b44e4706821651c9df4ba56dfa708630c1779308faf1553fe09408904
2025-06-05T23:28:20.3079282Z   Stored in directory: /tmp/pip-ephem-wheel-cache-0eiasdp2/wheels/0b/23/ff/2261dc1c4a27252503fe159d9fc88676b133e0e8d621abf36f
2025-06-05T23:28:20.3080169Z   Building wheel for pytorch_tokenizers (pyproject.toml) ... [?25l- \ done
2025-06-05T23:28:20.3081335Z [?25h  Created wheel for pytorch_tokenizers: filename=pytorch_tokenizers-0.1.0-py3-none-any.whl size=10999 sha256=75ac6b0c8becaf51fdc7ab76eb529d68e96723ee704842364a319331ad05c8e0
2025-06-05T23:28:20.3082575Z   Stored in directory: /tmp/pip-ephem-wheel-cache-0eiasdp2/wheels/27/7b/a1/358699b32a468639d6f9ef263f9676280bc5ee318b0bd9a0b2
2025-06-05T23:28:20.3083331Z Successfully built torchao pytorch_tokenizers
2025-06-05T23:28:20.3083748Z Installing collected packages: torchao, pytorch_tokenizers
2025-06-05T23:28:20.3084123Z [?25l
2025-06-05T23:28:20.3084494Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao]
2025-06-05T23:28:20.3085012Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao]
2025-06-05T23:28:20.3085500Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao]
2025-06-05T23:28:22.6183954Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2/2 [pytorch_tokenizers]
2025-06-05T23:28:22.6184387Z [?25h
2025-06-05T23:28:22.6184848Z Successfully installed pytorch_tokenizers-0.1.0 torchao-0.12.0+gitbc68b11
2025-06-05T23:28:22.6185492Z Using pip 25.1 from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pip (python 3.10)
2025-06-05T23:28:22.6186480Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-06-05T23:28:22.6186988Z Processing /pytorch/executorch
2025-06-05T23:28:22.6187328Z   Running command Preparing metadata (pyproject.toml)
2025-06-05T23:28:22.6188297Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
2025-06-05T23:28:22.6189167Z   !!
2025-06-05T23:28:22.6189273Z 
2025-06-05T23:28:22.6189403Z           ********************************************************************************
2025-06-05T23:28:22.6190222Z           Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0).
2025-06-05T23:28:22.6190924Z 
2025-06-05T23:28:22.6191140Z           By 2026-Feb-18, you need to update your project and remove deprecated calls
2025-06-05T23:28:22.6191607Z           or your builds will no longer be supported.
2025-06-05T23:28:22.6191841Z 
2025-06-05T23:28:22.6192189Z           See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
2025-06-05T23:28:22.6192765Z           ********************************************************************************
2025-06-05T23:28:22.6192997Z 
2025-06-05T23:28:22.6193073Z   !!
2025-06-05T23:28:22.6193284Z     corresp(dist, value, root_dir)
2025-06-05T23:28:22.6194125Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
2025-06-05T23:28:22.6194946Z   !!
2025-06-05T23:28:22.6195049Z 
2025-06-05T23:28:22.6195179Z           ********************************************************************************
2025-06-05T23:28:22.6195701Z           Please consider removing the following classifiers in favor of a SPDX license expression:
2025-06-05T23:28:22.6196123Z 
2025-06-05T23:28:22.6196274Z           License :: OSI Approved :: BSD License
2025-06-05T23:28:22.6196495Z 
2025-06-05T23:28:22.6196849Z           See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
2025-06-05T23:28:22.6197407Z           ********************************************************************************
2025-06-05T23:28:22.6197639Z 
2025-06-05T23:28:22.6197727Z   !!
2025-06-05T23:28:22.6197932Z     dist._finalize_license_expression()
2025-06-05T23:28:22.6198692Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
2025-06-05T23:28:22.6199417Z   !!
2025-06-05T23:28:22.6199532Z 
2025-06-05T23:28:22.6199645Z           ********************************************************************************
2025-06-05T23:28:22.6200175Z           Please consider removing the following classifiers in favor of a SPDX license expression:
2025-06-05T23:28:22.6200581Z 
2025-06-05T23:28:22.6200696Z           License :: OSI Approved :: BSD License
2025-06-05T23:28:22.6201070Z 
2025-06-05T23:28:22.6201410Z           See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
2025-06-05T23:28:22.6201971Z           ********************************************************************************
2025-06-05T23:28:22.6202213Z 
2025-06-05T23:28:22.6202288Z   !!
2025-06-05T23:28:22.6202506Z     self._finalize_license_expression()
2025-06-05T23:28:22.6202795Z   running dist_info
2025-06-05T23:28:22.6203146Z   creating /tmp/pip-modern-metadata-rm75l_ir/executorch.egg-info
2025-06-05T23:28:22.6203679Z   writing /tmp/pip-modern-metadata-rm75l_ir/executorch.egg-info/PKG-INFO
2025-06-05T23:28:22.6204384Z   writing dependency_links to /tmp/pip-modern-metadata-rm75l_ir/executorch.egg-info/dependency_links.txt
2025-06-05T23:28:22.6205165Z   writing entry points to /tmp/pip-modern-metadata-rm75l_ir/executorch.egg-info/entry_points.txt
2025-06-05T23:28:22.6205983Z   writing requirements to /tmp/pip-modern-metadata-rm75l_ir/executorch.egg-info/requires.txt
2025-06-05T23:28:22.6206817Z   writing top-level names to /tmp/pip-modern-metadata-rm75l_ir/executorch.egg-info/top_level.txt
2025-06-05T23:28:22.6207782Z   writing manifest file '/tmp/pip-modern-metadata-rm75l_ir/executorch.egg-info/SOURCES.txt'
2025-06-05T23:28:22.6208506Z   reading manifest file '/tmp/pip-modern-metadata-rm75l_ir/executorch.egg-info/SOURCES.txt'
2025-06-05T23:28:22.6209011Z   adding license file 'LICENSE'
2025-06-05T23:28:22.6209490Z   writing manifest file '/tmp/pip-modern-metadata-rm75l_ir/executorch.egg-info/SOURCES.txt'
2025-06-05T23:28:22.6210181Z   creating '/tmp/pip-modern-metadata-rm75l_ir/executorch-0.7.0a0+bd57234.dist-info'
2025-06-05T23:28:22.6210850Z   Preparing metadata (pyproject.toml) ... [?25l[?25hdone
2025-06-05T23:28:22.6211627Z Requirement already satisfied: expecttest in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.7.0a0+bd57234) (0.1.6)
2025-06-05T23:28:22.6212400Z Collecting flatbuffers (from executorch==0.7.0a0+bd57234)
2025-06-05T23:28:22.6213740Z   Obtaining dependency information for flatbuffers from https://files.pythonhosted.org/packages/b8/25/155f9f080d5e4bc0082edfda032ea2bc2b8fab3f4d25d46c1e9dd22a1a89/flatbuffers-25.2.10-py2.py3-none-any.whl.metadata
2025-06-05T23:28:22.6215047Z   Downloading flatbuffers-25.2.10-py2.py3-none-any.whl.metadata (875 bytes)
2025-06-05T23:28:22.6215904Z Requirement already satisfied: hypothesis in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.7.0a0+bd57234) (6.84.2)
2025-06-05T23:28:22.6216996Z Requirement already satisfied: mpmath==1.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.7.0a0+bd57234) (1.3.0)
2025-06-05T23:28:22.6218067Z Requirement already satisfied: numpy>=2.0.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.7.0a0+bd57234) (2.2.6)
2025-06-05T23:28:22.6219123Z Requirement already satisfied: packaging in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.7.0a0+bd57234) (25.0)
2025-06-05T23:28:22.6220192Z Requirement already satisfied: pandas>=2.2.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.7.0a0+bd57234) (2.2.3)
2025-06-05T23:28:22.6221274Z Requirement already satisfied: parameterized in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.7.0a0+bd57234) (0.9.0)
2025-06-05T23:28:22.6222358Z Requirement already satisfied: pytest in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.7.0a0+bd57234) (7.2.0)
2025-06-05T23:28:22.6223112Z Collecting pytest-xdist (from executorch==0.7.0a0+bd57234)
2025-06-05T23:28:22.6224393Z   Obtaining dependency information for pytest-xdist from https://files.pythonhosted.org/packages/0d/b2/0e802fde6f1c5b2f7ae7e9ad42b83fd4ecebac18a8a8c2f2f14e39dce6e1/pytest_xdist-3.7.0-py3-none-any.whl.metadata
2025-06-05T23:28:22.6225628Z   Downloading pytest_xdist-3.7.0-py3-none-any.whl.metadata (3.0 kB)
2025-06-05T23:28:22.6226154Z Collecting pytest-rerunfailures (from executorch==0.7.0a0+bd57234)
2025-06-05T23:28:22.6227556Z   Obtaining dependency information for pytest-rerunfailures from https://files.pythonhosted.org/packages/f3/30/11d836ff01c938969efa319b4ebe2374ed79d28043a12bfc908577aab9f3/pytest_rerunfailures-15.1-py3-none-any.whl.metadata
2025-06-05T23:28:22.6229100Z   Downloading pytest_rerunfailures-15.1-py3-none-any.whl.metadata (20 kB)
2025-06-05T23:28:22.6229924Z Requirement already satisfied: pyyaml in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.7.0a0+bd57234) (6.0.1)
2025-06-05T23:28:22.6231004Z Requirement already satisfied: ruamel.yaml in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.7.0a0+bd57234) (0.17.32)
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2025-06-05T23:28:22.6235201Z Collecting coremltools==8.3 (from executorch==0.7.0a0+bd57234)
2025-06-05T23:28:22.6236471Z   Obtaining dependency information for coremltools==8.3 from https://files.pythonhosted.org/packages/c4/c9/f602c2a7861a9e8a2555a083d9558d37d8811515bacd597eb3b40ba7757d/coremltools-8.3.0-cp310-none-manylinux1_x86_64.whl.metadata
2025-06-05T23:28:22.6237830Z   Downloading coremltools-8.3.0-cp310-none-manylinux1_x86_64.whl.metadata (2.6 kB)
2025-06-05T23:28:22.6238432Z Collecting protobuf>=3.1.0 (from coremltools==8.3->executorch==0.7.0a0+bd57234)
2025-06-05T23:28:22.6239724Z   Obtaining dependency information for protobuf>=3.1.0 from https://files.pythonhosted.org/packages/fa/b1/b59d405d64d31999244643d88c45c8241c58f17cc887e73bcb90602327f8/protobuf-6.31.1-cp39-abi3-manylinux2014_x86_64.whl.metadata
2025-06-05T23:28:22.6241050Z   Downloading protobuf-6.31.1-cp39-abi3-manylinux2014_x86_64.whl.metadata (593 bytes)
2025-06-05T23:28:22.6241962Z Requirement already satisfied: tqdm in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from coremltools==8.3->executorch==0.7.0a0+bd57234) (4.67.1)
2025-06-05T23:28:22.6243167Z Requirement already satisfied: attrs>=21.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from coremltools==8.3->executorch==0.7.0a0+bd57234) (25.3.0)
2025-06-05T23:28:22.6244028Z Collecting cattrs (from coremltools==8.3->executorch==0.7.0a0+bd57234)
2025-06-05T23:28:22.6245181Z   Obtaining dependency information for cattrs from https://files.pythonhosted.org/packages/18/b0/215274ef0d835bbc1056392a367646648b6084e39d489099959aefcca2af/cattrs-25.1.1-py3-none-any.whl.metadata
2025-06-05T23:28:22.6246344Z   Downloading cattrs-25.1.1-py3-none-any.whl.metadata (8.4 kB)
2025-06-05T23:28:22.6246878Z Collecting pyaml (from coremltools==8.3->executorch==0.7.0a0+bd57234)
2025-06-05T23:28:23.9055806Z   Obtaining dependency information for pyaml from https://files.pythonhosted.org/packages/aa/7d/1b5061beff826f902285827261485a058b943332eba8a5532a0164735205/pyaml-25.5.0-py3-none-any.whl.metadata
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2025-06-05T23:28:23.9071054Z Collecting pytest (from executorch==0.7.0a0+bd57234)
2025-06-05T23:28:23.9072265Z   Obtaining dependency information for pytest from https://files.pythonhosted.org/packages/2f/de/afa024cbe022b1b318a3d224125aa24939e99b4ff6f22e0ba639a2eaee47/pytest-8.4.0-py3-none-any.whl.metadata
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2025-06-05T23:28:23.9075686Z Collecting execnet>=2.1 (from pytest-xdist->executorch==0.7.0a0+bd57234)
2025-06-05T23:28:23.9077182Z   Obtaining dependency information for execnet>=2.1 from https://files.pythonhosted.org/packages/43/09/2aea36ff60d16dd8879bdb2f5b3ee0ba8d08cbbdcdfe870e695ce3784385/execnet-2.1.1-py3-none-any.whl.metadata
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2025-06-05T23:28:23.9083032Z [?25hDownloading protobuf-6.31.1-cp39-abi3-manylinux2014_x86_64.whl (321 kB)
2025-06-05T23:28:23.9083603Z Downloading cattrs-25.1.1-py3-none-any.whl (69 kB)
2025-06-05T23:28:23.9084072Z Downloading flatbuffers-25.2.10-py2.py3-none-any.whl (30 kB)
2025-06-05T23:28:23.9084507Z Downloading pyaml-25.5.0-py3-none-any.whl (26 kB)
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2025-06-05T23:28:23.9086015Z Downloading pytest_xdist-3.7.0-py3-none-any.whl (46 kB)
2025-06-05T23:28:23.9086564Z Downloading execnet-2.1.1-py3-none-any.whl (40 kB)
2025-06-05T23:28:23.9087021Z Building wheels for collected packages: executorch
2025-06-05T23:28:23.9087541Z   Running command Building wheel for executorch (pyproject.toml)
2025-06-05T23:28:23.9088650Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
2025-06-05T23:28:23.9089743Z   !!
2025-06-05T23:28:23.9089849Z 
2025-06-05T23:28:23.9089967Z           ********************************************************************************
2025-06-05T23:28:23.9090934Z           Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0).
2025-06-05T23:28:23.9091780Z 
2025-06-05T23:28:23.9092086Z           By 2026-Feb-18, you need to update your project and remove deprecated calls
2025-06-05T23:28:23.9092693Z           or your builds will no longer be supported.
2025-06-05T23:28:23.9093003Z 
2025-06-05T23:28:23.9093375Z           See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
2025-06-05T23:28:23.9094199Z           ********************************************************************************
2025-06-05T23:28:23.9094445Z 
2025-06-05T23:28:23.9094520Z   !!
2025-06-05T23:28:23.9094734Z     corresp(dist, value, root_dir)
2025-06-05T23:28:23.9095741Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
2025-06-05T23:28:23.9096845Z   !!
2025-06-05T23:28:23.9096972Z 
2025-06-05T23:28:23.9097175Z           ********************************************************************************
2025-06-05T23:28:23.9097760Z           Please consider removing the following classifiers in favor of a SPDX license expression:
2025-06-05T23:28:23.9098275Z 
2025-06-05T23:28:23.9098461Z           License :: OSI Approved :: BSD License
2025-06-05T23:28:23.9098680Z 
2025-06-05T23:28:23.9099030Z           See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
2025-06-05T23:28:23.9099826Z           ********************************************************************************
2025-06-05T23:28:23.9100062Z 
2025-06-05T23:28:23.9100136Z   !!
2025-06-05T23:28:23.9100352Z     dist._finalize_license_expression()
2025-06-05T23:28:23.9101276Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
2025-06-05T23:28:23.9102052Z   !!
2025-06-05T23:28:23.9102184Z 
2025-06-05T23:28:23.9102341Z           ********************************************************************************
2025-06-05T23:28:23.9102945Z           Please consider removing the following classifiers in favor of a SPDX license expression:
2025-06-05T23:28:23.9103382Z 
2025-06-05T23:28:23.9103535Z           License :: OSI Approved :: BSD License
2025-06-05T23:28:23.9103848Z 
2025-06-05T23:28:23.9104288Z           See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
2025-06-05T23:28:23.9104946Z           ********************************************************************************
2025-06-05T23:28:23.9105268Z 
2025-06-05T23:28:23.9105383Z   !!
2025-06-05T23:28:23.9105588Z     self._finalize_license_expression()
2025-06-05T23:28:23.9105890Z   running bdist_wheel
2025-06-05T23:28:23.9106112Z   running build
2025-06-05T23:28:23.9106452Z   command options for 'CustomBuild':
2025-06-05T23:28:23.9106848Z     build_base = pip-out
2025-06-05T23:28:23.9107112Z     build_purelib = pip-out/lib
2025-06-05T23:28:23.9107447Z     build_platlib = pip-out/lib.linux-x86_64-cpython-310
2025-06-05T23:28:23.9107915Z     build_lib = pip-out/lib.linux-x86_64-cpython-310
2025-06-05T23:28:23.9108366Z     build_scripts = pip-out/scripts-3.10
2025-06-05T23:28:23.9108708Z     build_temp = pip-out/temp.linux-x86_64-cpython-310
2025-06-05T23:28:23.9109089Z     plat_name = linux-x86_64
2025-06-05T23:28:23.9109441Z     compiler = None
2025-06-05T23:28:23.9109761Z     parallel = None
2025-06-05T23:28:23.9109968Z     debug = None
2025-06-05T23:28:23.9110183Z     force = None
2025-06-05T23:28:23.9110496Z     executable = /opt/conda/envs/py_3.10/bin/python
2025-06-05T23:28:23.9111150Z   creating /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out
2025-06-05T23:28:23.9111766Z   clearing /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out
2025-06-05T23:28:23.9112211Z   Preset CMake variables:
2025-06-05T23:28:23.9112369Z 
2025-06-05T23:28:23.9112484Z     CMAKE_OSX_DEPLOYMENT_TARGET="12.0"
2025-06-05T23:28:23.9112950Z     EXECUTORCH_BUILD_PRESET_FILE="/pytorch/executorch/tools/cmake/preset/pybind.cmake"
2025-06-05T23:28:23.9113447Z 
2025-06-05T23:28:23.9113576Z   -- The C compiler identification is GNU 9.5.0
2025-06-05T23:28:23.9113927Z   -- The CXX compiler identification is GNU 9.5.0
2025-06-05T23:28:23.9114272Z   -- Detecting C compiler ABI info
2025-06-05T23:28:23.9114579Z   -- Detecting C compiler ABI info - done
2025-06-05T23:28:23.9114953Z   -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-06-05T23:28:23.9115332Z   -- Detecting C compile features
2025-06-05T23:28:23.9115619Z   -- Detecting C compile features - done
2025-06-05T23:28:23.9115934Z   -- Detecting CXX compiler ABI info
2025-06-05T23:28:23.9116233Z   -- Detecting CXX compiler ABI info - done
2025-06-05T23:28:23.9116623Z   -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-06-05T23:28:23.9117004Z   -- Detecting CXX compile features
2025-06-05T23:28:23.9117316Z   -- Detecting CXX compile features - done
2025-06-05T23:28:23.9117828Z   -- Loading build preset: /pytorch/executorch/tools/cmake/preset/pybind.cmake
2025-06-05T23:28:23.9118273Z   -- --- Configured Options ---
2025-06-05T23:28:23.9118449Z 
2025-06-05T23:28:23.9118575Z   -- CMAKE_CXX_STANDARD                      : 17
2025-06-05T23:28:23.9118918Z   -- CMAKE_SYSTEM_PROCESSOR                  : x86_64
2025-06-05T23:28:23.9119278Z   -- CMAKE_BUILD_TYPE                        : Release
2025-06-05T23:28:23.9119694Z   -- PYTHON_EXECUTABLE                       : /opt/conda/envs/py_3.10/bin/python
2025-06-05T23:28:23.9120197Z   -- CMAKE_CXX_COMPILER_ID                   : GNU
2025-06-05T23:28:23.9120560Z   -- CMAKE_TOOLCHAIN_FILE                    x (unset)
2025-06-05T23:28:23.9120888Z   -- BUCK2                                   :
2025-06-05T23:28:23.9121371Z   -- EXECUTORCH_BUILD_PRESET_FILE            : /pytorch/executorch/tools/cmake/preset/pybind.cmake
2025-06-05T23:28:23.9121875Z   -- EXECUTORCH_ENABLE_LOGGING               : ON
2025-06-05T23:28:23.9122225Z   -- EXECUTORCH_BUILD_COREML                 : ON
2025-06-05T23:28:23.9122586Z   -- EXECUTORCH_FLATBUFFERS_MAX_ALIGNMENT    : 1024
2025-06-05T23:28:23.9122963Z   -- EXECUTORCH_PAL_DEFAULT                  : posix
2025-06-05T23:28:23.9123506Z   -- EXECUTORCH_PAL_DEFAULT_FILE_PATH        : /pytorch/executorch/runtime/platform/default/posix.cpp
2025-06-05T23:28:23.9124036Z   -- EXECUTORCH_LOG_LEVEL                    : Info
2025-06-05T23:28:28.4100261Z   -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION  : OFF
2025-06-05T23:28:28.4100914Z   -- EXECUTORCH_ENABLE_EVENT_TRACER          : OFF
2025-06-05T23:28:28.4101278Z   -- EXECUTORCH_OPTIMIZE_SIZE                : OFF
2025-06-05T23:28:28.4101790Z   -- EXECUTORCH_BUILD_ARM_BAREMETAL          : OFF
2025-06-05T23:28:28.4102143Z   -- EXECUTORCH_BUILD_KERNELS_CUSTOM         : ON
2025-06-05T23:28:28.4102619Z   -- EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT     : ON
2025-06-05T23:28:28.4102980Z   -- EXECUTORCH_BUILD_KERNELS_QUANTIZED_AOT  : ON
2025-06-05T23:28:28.4103403Z   -- EXECUTORCH_BUILD_EXTENSION_DATA_LOADER  : OFF
2025-06-05T23:28:28.4103866Z   -- EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR  : ON
2025-06-05T23:28:28.4104309Z   -- EXECUTORCH_BUILD_EXTENSION_LLM          : OFF
2025-06-05T23:28:28.4104704Z   -- EXECUTORCH_BUILD_EXTENSION_MODULE       : ON
2025-06-05T23:28:28.4105200Z   -- EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL  : ON
2025-06-05T23:28:28.4105616Z   -- EXECUTORCH_BUILD_EXTENSION_TENSOR       : ON
2025-06-05T23:28:28.4106027Z   -- EXECUTORCH_BUILD_EXTENSION_TRAINING     : OFF
2025-06-05T23:28:28.4106431Z   -- EXECUTORCH_BUILD_EXTENSION_APPLE        : OFF
2025-06-05T23:28:28.4106878Z   -- EXECUTORCH_BUILD_MPS                    : OFF
2025-06-05T23:28:28.4107281Z   -- EXECUTORCH_BUILD_NEURON                 : OFF
2025-06-05T23:28:28.4107673Z   -- EXECUTORCH_BUILD_OPENVINO               : ON
2025-06-05T23:28:28.4108125Z   -- EXECUTORCH_BUILD_PYBIND                 : ON
2025-06-05T23:28:28.4108474Z   -- EXECUTORCH_BUILD_QNN                    : OFF
2025-06-05T23:28:28.4108839Z   -- EXECUTORCH_BUILD_KERNELS_OPTIMIZED      : OFF
2025-06-05T23:28:28.4109565Z   -- EXECUTORCH_BUILD_KERNELS_QUANTIZED      : ON
2025-06-05T23:28:28.4109906Z   -- EXECUTORCH_BUILD_DEVTOOLS               : OFF
2025-06-05T23:28:28.4110257Z   -- EXECUTORCH_BUILD_TESTS                  : OFF
2025-06-05T23:28:28.4110638Z   -- EXECUTORCH_NNLIB_OPT                    : OFF
2025-06-05T23:28:28.4111017Z   -- EXECUTORCH_CADENCE_CPU_RUNNER           : OFF
2025-06-05T23:28:28.4111418Z   -- EXECUTORCH_BUILD_SIZE_TEST              : OFF
2025-06-05T23:28:28.4111786Z   -- EXECUTORCH_BUILD_XNNPACK                : ON
2025-06-05T23:28:28.4112186Z   -- EXECUTORCH_BUILD_VULKAN                 : OFF
2025-06-05T23:28:28.4112599Z   -- EXECUTORCH_BUILD_PORTABLE_OPS           : ON
2025-06-05T23:28:28.4112948Z   -- EXECUTORCH_USE_DL                       : ON
2025-06-05T23:28:28.4113373Z   -- EXECUTORCH_BUILD_CADENCE                : OFF
2025-06-05T23:28:28.4113810Z   -- EXECUTORCH_BUILD_CORTEX_M               : OFF
2025-06-05T23:28:28.4114156Z   -- EXECUTORCH_BUILD_GFLAGS                 : ON
2025-06-05T23:28:28.4114667Z   -- EXECUTORCH_COREML_BUILD_EXECUTOR_RUNNER : OFF
2025-06-05T23:28:28.4115090Z   -- EXECUTORCH_BUILD_PTHREADPOOL            : ON
2025-06-05T23:28:28.4115554Z   -- EXECUTORCH_BUILD_CPUINFO                : ON
2025-06-05T23:28:28.4115919Z   -- EXECUTORCH_BUILD_EXECUTOR_RUNNER        : OFF
2025-06-05T23:28:28.4116337Z   -- EXECUTORCH_XNNPACK_SHARED_WORKSPACE     : ON
2025-06-05T23:28:28.4116804Z   -- EXECUTORCH_XNNPACK_ENABLE_KLEIDI        : OFF
2025-06-05T23:28:28.4117169Z   -- EXECUTORCH_XNNPACK_ENABLE_WEIGHT_CACHE  : OFF
2025-06-05T23:28:28.4117520Z   -- --------------------------
2025-06-05T23:28:28.4118096Z   -- Using the multi-header code from /pytorch/executorch/third-party/json/include/
2025-06-05T23:28:28.4118772Z   CMake Deprecation Warning at third-party/pybind11/CMakeLists.txt:13 (cmake_minimum_required):
2025-06-05T23:28:28.4119425Z     Compatibility with CMake < 3.10 will be removed from a future version of
2025-06-05T23:28:28.4119824Z     CMake.
2025-06-05T23:28:28.4119963Z 
2025-06-05T23:28:28.4120180Z     Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-06-05T23:28:28.4120726Z     to tell CMake that the project requires at least <min> but has been updated
2025-06-05T23:28:28.4121193Z     to work with policies introduced by <max> or earlier.
2025-06-05T23:28:28.4121492Z 
2025-06-05T23:28:28.4121496Z 
2025-06-05T23:28:28.4121584Z   -- pybind11 v2.13.6
2025-06-05T23:28:28.4122144Z   -- Found PythonInterp: /opt/conda/envs/py_3.10/bin/python (found suitable version "3.10.16", minimum required is "3.7")
2025-06-05T23:28:28.4122839Z   -- Found PythonLibs: /opt/conda/envs/py_3.10/lib/libpython3.10.so
2025-06-05T23:28:28.4123244Z   -- Performing Test HAS_FLTO
2025-06-05T23:28:28.4123520Z   -- Performing Test HAS_FLTO - Success
2025-06-05T23:28:28.4124026Z   CMake Deprecation Warning at third-party/flatcc/CMakeLists.txt:2 (cmake_minimum_required):
2025-06-05T23:28:28.4124655Z     Compatibility with CMake < 3.10 will be removed from a future version of
2025-06-05T23:28:28.4125064Z     CMake.
2025-06-05T23:28:28.4125173Z 
2025-06-05T23:28:28.4125397Z     Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-06-05T23:28:28.4125930Z     to tell CMake that the project requires at least <min> but has been updated
2025-06-05T23:28:28.4126401Z     to work with policies introduced by <max> or earlier.
2025-06-05T23:28:28.4126650Z 
2025-06-05T23:28:28.4126654Z 
2025-06-05T23:28:28.4126863Z   -- dist install dir /pytorch/executorch/third-party/flatcc
2025-06-05T23:28:28.4127312Z   -- lib install dir /pytorch/executorch/third-party/flatcc/lib
2025-06-05T23:28:28.4127738Z   -- Setting GNU C compiler options with c11 and Posix
2025-06-05T23:28:28.4128090Z   -- Disabling -pedantic for GCC >= 8.0
2025-06-05T23:28:28.4128552Z   -- Disabling GNU C compiler warnings: -Wstringop-truncation -Wno-format-overflow
2025-06-05T23:28:28.4129216Z   -- GCC_VERSION: 9
2025-06-05T23:28:28.4129365Z 
2025-06-05T23:28:28.4130070Z   -- Configured C_FLAGS:  -DFLATCC_REFLECTION=0 -std=c11 -Wall -Wextra -Wno-stringop-truncation -Wno-format-overflow -DPORTABLE_POSIX_MEMALIGN=1 -Werror -Wno-unused-function -Wsign-conversion
2025-06-05T23:28:28.4131413Z   CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-06-05T23:28:28.4132112Z     Compatibility with CMake < 3.10 will be removed from a future version of
2025-06-05T23:28:28.4132524Z     CMake.
2025-06-05T23:28:28.4132634Z 
2025-06-05T23:28:28.4132848Z     Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-06-05T23:28:28.4133467Z     to tell CMake that the project requires at least <min> but has been updated
2025-06-05T23:28:28.4133933Z     to work with policies introduced by <max> or earlier.
2025-06-05T23:28:28.4134198Z 
2025-06-05T23:28:28.4134203Z 
2025-06-05T23:28:28.4134586Z   CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-06-05T23:28:28.4135396Z     Compatibility with CMake < 3.10 will be removed from a future version of
2025-06-05T23:28:28.4135797Z     CMake.
2025-06-05T23:28:28.4135919Z 
2025-06-05T23:28:28.4136134Z     Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-06-05T23:28:28.4136665Z     to tell CMake that the project requires at least <min> but has been updated
2025-06-05T23:28:28.4137147Z     to work with policies introduced by <max> or earlier.
2025-06-05T23:28:28.4137397Z 
2025-06-05T23:28:28.4137401Z 
2025-06-05T23:28:28.4137534Z   -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-06-05T23:28:28.4137893Z   -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-06-05T23:28:28.4138239Z   -- Found Threads: TRUE
2025-06-05T23:28:28.4138796Z   CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-06-05T23:28:28.4139540Z     Compatibility with CMake < 3.10 will be removed from a future version of
2025-06-05T23:28:28.4139936Z     CMake.
2025-06-05T23:28:28.4140059Z 
2025-06-05T23:28:28.4140280Z     Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-06-05T23:28:28.4140825Z     to tell CMake that the project requires at least <min> but has been updated
2025-06-05T23:28:28.4141283Z     to work with policies introduced by <max> or earlier.
2025-06-05T23:28:28.4141545Z 
2025-06-05T23:28:28.4141549Z 
2025-06-05T23:28:28.4141643Z   -- Resolved buck2 as buck2.
2025-06-05T23:28:28.4141899Z   -- Killing buck2 daemon
2025-06-05T23:28:28.4142143Z   'buck2 killall'
2025-06-05T23:28:28.4142378Z   -- executorch: Generating source lists
2025-06-05T23:28:28.4143061Z   -- executorch: Generating source file list /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/executorch_srcs.cmake
2025-06-05T23:28:28.4144065Z   -- executorch: Using sources file /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/executorch_srcs.cmake
2025-06-05T23:28:28.4145068Z   '/opt/conda/envs/py_3.10/bin/python' '-c' 'import importlib.util; print(importlib.util.find_spec('torch').submodule_search_locations[0])'
2025-06-05T23:28:28.4145758Z   -- Generating operator lib:
2025-06-05T23:28:28.4146027Z   --   LIB_NAME: portable_ops_lib
2025-06-05T23:28:28.4146442Z   --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-06-05T23:28:28.4146840Z   --   ROOT_OPS:
2025-06-05T23:28:28.4147059Z   --   INCLUDE_ALL_OPS:
2025-06-05T23:28:28.4148361Z   Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/portable/portable_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/portable/functions.yaml"
2025-06-05T23:28:28.4149740Z   -- Generating kernel bindings:
2025-06-05T23:28:28.4150024Z   --   LIB_NAME: portable_ops_lib
2025-06-05T23:28:28.4150411Z   --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-06-05T23:28:28.4150828Z   --   CUSTOM_OPS_YAML:
2025-06-05T23:28:28.4151073Z   --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-06-05T23:28:28.4153604Z   Generated files /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/portable/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/portable/portable_ops_lib/Functions.h;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/portable/portable_ops_lib/NativeFunctions.h
2025-06-05T23:28:28.4155538Z   -- Generating operator lib:
2025-06-05T23:28:28.4155803Z   --   LIB_NAME: portable_ops_lib
2025-06-05T23:28:28.4156092Z   --   KERNEL_LIBS: portable_kernels
2025-06-05T23:28:28.4156373Z   --   DEPS: executorch_core
2025-06-05T23:28:28.4156651Z   -- Generating operator lib:
2025-06-05T23:28:28.4156922Z   --   LIB_NAME: optimized_ops_lib
2025-06-05T23:28:28.4157330Z   --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml
2025-06-05T23:28:28.4157746Z   --   ROOT_OPS:
2025-06-05T23:28:28.4158015Z   --   INCLUDE_ALL_OPS:
2025-06-05T23:28:28.4159340Z   Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/optimized/optimized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/optimized/optimized.yaml"
2025-06-05T23:28:28.4160701Z   -- Generating kernel bindings:
2025-06-05T23:28:28.4160986Z   --   LIB_NAME: optimized_ops_lib
2025-06-05T23:28:28.4161399Z   --   FUNCTIONS_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml
2025-06-05T23:28:28.4161811Z   --   CUSTOM_OPS_YAML:
2025-06-05T23:28:28.4162068Z   --   ADD_EXCEPTION_BOUNDARY: TRUE
2025-06-05T23:28:28.4164008Z   Generated files /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/optimized/optimized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/optimized/optimized_ops_lib/Functions.h;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/optimized/optimized_ops_lib/NativeFunctions.h
2025-06-05T23:28:28.4165975Z   -- Generating operator lib:
2025-06-05T23:28:28.4166258Z   --   LIB_NAME: optimized_ops_lib
2025-06-05T23:28:28.4166542Z   --   KERNEL_LIBS: optimized_kernels
2025-06-05T23:28:28.4166842Z   --   DEPS: executorch_core
2025-06-05T23:28:28.4167102Z   -- Merging kernel yaml files:
2025-06-05T23:28:42.0247647Z   --   FUNCTIONS_YAML: /pytorch/executorch/configurations/../kernels/optimized/optimized.yaml
2025-06-05T23:28:42.0248827Z   --   FALLBACK_YAML: /pytorch/executorch/configurations/../kernels/portable/functions.yaml
2025-06-05T23:28:42.0249751Z   --   OUTPUT_DIR: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations
2025-06-05T23:28:42.0250308Z   -- Generating operator lib:
2025-06-05T23:28:42.0250607Z   --   LIB_NAME: optimized_native_cpu_ops_lib
2025-06-05T23:28:42.0251261Z   --   OPS_SCHEMA_YAML: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/merged.yaml
2025-06-05T23:28:42.0251859Z   --   ROOT_OPS:
2025-06-05T23:28:42.0252094Z   --   INCLUDE_ALL_OPS:
2025-06-05T23:28:42.0253772Z   Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/optimized_native_cpu_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/merged.yaml"
2025-06-05T23:28:42.0255687Z   -- Generating kernel bindings:
2025-06-05T23:28:42.0256125Z   --   LIB_NAME: optimized_native_cpu_ops_lib
2025-06-05T23:28:42.0256768Z   --   FUNCTIONS_YAML: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/merged.yaml
2025-06-05T23:28:42.0257663Z   --   CUSTOM_OPS_YAML:
2025-06-05T23:28:42.0257926Z   --   ADD_EXCEPTION_BOUNDARY: TRUE
2025-06-05T23:28:42.0260431Z   Generated files /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/optimized_native_cpu_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/optimized_native_cpu_ops_lib/Functions.h;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/optimized_native_cpu_ops_lib/NativeFunctions.h
2025-06-05T23:28:42.0263131Z   -- Generating operator lib:
2025-06-05T23:28:42.0263485Z   --   LIB_NAME: optimized_native_cpu_ops_lib
2025-06-05T23:28:42.0263873Z   --   KERNEL_LIBS: optimized_kernels;optimized_portable_kernels
2025-06-05T23:28:42.0264352Z   --   DEPS: executorch_core
2025-06-05T23:28:42.0264909Z   CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-06-05T23:28:42.0265668Z     Compatibility with CMake < 3.10 will be removed from a future version of
2025-06-05T23:28:42.0266214Z     CMake.
2025-06-05T23:28:42.0266329Z 
2025-06-05T23:28:42.0266697Z     Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-06-05T23:28:42.0267302Z     to tell CMake that the project requires at least <min> but has been updated
2025-06-05T23:28:42.0267819Z     to work with policies introduced by <max> or earlier.
2025-06-05T23:28:42.0268137Z 
2025-06-05T23:28:42.0268141Z 
2025-06-05T23:28:42.0268249Z   -- Looking for C++ include unistd.h
2025-06-05T23:28:42.0268689Z   -- Looking for C++ include unistd.h - found
2025-06-05T23:28:42.0269018Z   -- Looking for C++ include stdint.h
2025-06-05T23:28:42.0269380Z   -- Looking for C++ include stdint.h - found
2025-06-05T23:28:42.0269699Z   -- Looking for C++ include inttypes.h
2025-06-05T23:28:42.0270071Z   -- Looking for C++ include inttypes.h - found
2025-06-05T23:28:42.0270441Z   -- Looking for C++ include sys/types.h
2025-06-05T23:28:42.0270816Z   -- Looking for C++ include sys/types.h - found
2025-06-05T23:28:42.0271146Z   -- Looking for C++ include sys/stat.h
2025-06-05T23:28:42.0271502Z   -- Looking for C++ include sys/stat.h - found
2025-06-05T23:28:42.0271943Z   -- Looking for C++ include fnmatch.h
2025-06-05T23:28:42.0272315Z   -- Looking for C++ include fnmatch.h - found
2025-06-05T23:28:42.0272651Z   -- Looking for C++ include stddef.h
2025-06-05T23:28:42.0273037Z   -- Looking for C++ include stddef.h - found
2025-06-05T23:28:42.0273457Z   -- Check size of uint32_t
2025-06-05T23:28:42.0273744Z   -- Check size of uint32_t - done
2025-06-05T23:28:42.0274036Z   -- Looking for strtoll
2025-06-05T23:28:42.0274296Z   -- Looking for strtoll - found
2025-06-05T23:28:42.0274695Z   -- The ASM compiler identification is GNU
2025-06-05T23:28:42.0275011Z   -- Found assembler: /opt/cache/bin/cc
2025-06-05T23:28:42.0275322Z   -- Using ccache: /usr/bin/ccache
2025-06-05T23:28:42.0275651Z   -- Building for XNNPACK_TARGET_PROCESSOR: x86_64
2025-06-05T23:28:42.0276248Z   -- Found Python: /opt/conda/envs/py_3.10/bin/python3.10 (found version "3.10.16") found components: Interpreter
2025-06-05T23:28:42.0276835Z   -- Generating microkernels.cmake
2025-06-05T23:28:42.0277211Z   No microkernel found in src/reference/binary-elementwise.cc
2025-06-05T23:28:42.0277643Z   No microkernel found in src/reference/packing.cc
2025-06-05T23:28:42.0278047Z   No microkernel found in src/reference/unary-elementwise.cc
2025-06-05T23:28:42.0278805Z   '/opt/conda/envs/py_3.10/bin/python' '-c' 'import importlib.util; print(importlib.util.find_spec('torch').submodule_search_locations[0])'
2025-06-05T23:28:42.0279512Z   -- MKL_ARCH: None, set to ` intel64` by default
2025-06-05T23:28:42.0279837Z   -- MKL_ROOT /opt/conda/envs/py_3.10
2025-06-05T23:28:42.0280158Z   -- MKL_LINK: None, set to ` dynamic` by default
2025-06-05T23:28:42.0280541Z   -- MKL_INTERFACE_FULL: None, set to ` intel_ilp64` by default
2025-06-05T23:28:42.0280974Z   -- MKL_THREADING: None, set to ` intel_thread` by default
2025-06-05T23:28:42.0281348Z   -- MKL_MPI: None, set to ` intelmpi` by default
2025-06-05T23:28:42.0282041Z   CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
2025-06-05T23:28:42.0282871Z     static library kineto_LIBRARY-NOTFOUND not found.
2025-06-05T23:28:42.0283219Z   Call Stack (most recent call first):
2025-06-05T23:28:42.0283913Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found)
2025-06-05T23:28:42.0284612Z     tools/cmake/Utils.cmake:267 (find_package)
2025-06-05T23:28:42.0284954Z     CMakeLists.txt:610 (find_package_torch)
2025-06-05T23:28:42.0285167Z 
2025-06-05T23:28:42.0285172Z 
2025-06-05T23:28:42.0285449Z   -- Found Torch: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so
2025-06-05T23:28:42.0286447Z   -- executorch: Using source file list /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/extension/llm/custom_ops/../../../executorch_srcs.cmake
2025-06-05T23:28:42.0287262Z   -- Generating operator lib:
2025-06-05T23:28:42.0287531Z   --   LIB_NAME: quantized_ops_lib
2025-06-05T23:28:42.0288007Z   --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml
2025-06-05T23:28:42.0288421Z   --   ROOT_OPS:
2025-06-05T23:28:42.0288644Z   --   INCLUDE_ALL_OPS:
2025-06-05T23:28:42.0289956Z   Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/quantized/quantized.yaml"
2025-06-05T23:28:42.0291353Z   -- Generating kernel bindings:
2025-06-05T23:28:42.0291640Z   --   LIB_NAME: quantized_ops_lib
2025-06-05T23:28:42.0291906Z   --   FUNCTIONS_YAML:
2025-06-05T23:28:42.0292270Z   --   CUSTOM_OPS_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml
2025-06-05T23:28:42.0292694Z   --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-06-05T23:28:42.0296481Z   Generated files /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/Functions.h;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/NativeFunctions.h;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCPUCustomOps.cpp;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/RegisterSchema.cpp;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/CustomOpsNativeFunctions.h
2025-06-05T23:28:42.0300192Z   -- Generating operator lib:
2025-06-05T23:28:42.0300487Z   --   LIB_NAME: quantized_ops_aot_lib
2025-06-05T23:28:42.0300765Z   --   OPS_SCHEMA_YAML:
2025-06-05T23:28:42.0303368Z   --   ROOT_OPS: quantized_decomposed::add.out;quantized_decomposed::choose_qparams.Tensor_out;quantized_decomposed::choose_qparams_per_token_asymmetric.out;quantized_decomposed::dequantize_per_channel.out;quantized_decomposed::dequantize_per_tensor.out;quantized_decomposed::dequantize_per_tensor.Tensor_out;quantized_decomposed::dequantize_per_token.out;quantized_decomposed::mixed_linear.out;quantized_decomposed::mixed_mm.out;quantized_decomposed::quantize_per_channel.out;quantized_decomposed::quantize_per_tensor.out;quantized_decomposed::quantize_per_tensor.Tensor_out;quantized_decomposed::quantize_per_token.out
2025-06-05T23:28:42.0305954Z   --   INCLUDE_ALL_OPS:
2025-06-05T23:28:42.0309429Z   Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_aot_lib/selected_operators.yaml;--root_ops="quantized_decomposed::add.out;quantized_decomposed::choose_qparams.Tensor_out;quantized_decomposed::choose_qparams_per_token_asymmetric.out;quantized_decomposed::dequantize_per_channel.out;quantized_decomposed::dequantize_per_tensor.out;quantized_decomposed::dequantize_per_tensor.Tensor_out;quantized_decomposed::dequantize_per_token.out;quantized_decomposed::mixed_linear.out;quantized_decomposed::mixed_mm.out;quantized_decomposed::quantize_per_channel.out;quantized_decomposed::quantize_per_tensor.out;quantized_decomposed::quantize_per_tensor.Tensor_out;quantized_decomposed::quantize_per_token.out"
2025-06-05T23:28:42.0313122Z   -- Generating kernel bindings:
2025-06-05T23:28:42.0313400Z   --   LIB_NAME: quantized_ops_aot_lib
2025-06-05T23:28:42.0313694Z   --   FUNCTIONS_YAML:
2025-06-05T23:28:42.0314050Z   --   CUSTOM_OPS_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml
2025-06-05T23:28:42.0314493Z   --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-06-05T23:28:42.0314787Z   -- Generating custom ops aot lib:
2025-06-05T23:28:42.0315092Z   --   LIB_NAME: quantized_ops_aot_lib
2025-06-05T23:28:42.0315636Z   --   KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/embeddingxb.cpp
2025-06-05T23:28:42.0316456Z   --   KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_add.cpp
2025-06-05T23:28:42.0317255Z   --   KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_choose_qparams.cpp
2025-06-05T23:28:45.0455376Z   --   KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_dequantize.cpp
2025-06-05T23:28:45.0456933Z   --   KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_embedding.cpp
2025-06-05T23:28:45.0458278Z   --   KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_embedding2b.cpp
2025-06-05T23:28:45.0459258Z   --   KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_embedding4b.cpp
2025-06-05T23:28:45.0460182Z   --   KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_mixed_linear.cpp
2025-06-05T23:28:45.0461192Z   --   KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_mixed_mm.cpp
2025-06-05T23:28:45.0462212Z   --   KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_quantize.cpp
2025-06-05T23:28:45.0463162Z   --   KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/portable/cpu/util/reduce_util.cpp
2025-06-05T23:28:45.0464123Z   --   KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../runtime/core/exec_aten/util/tensor_util_aten.cpp
2025-06-05T23:28:45.0464779Z   -- Generating operator lib:
2025-06-05T23:28:45.0465137Z   --   LIB_NAME: quantized_ops_pybind_lib
2025-06-05T23:28:45.0465657Z   --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml
2025-06-05T23:28:45.0466117Z   --   ROOT_OPS:
2025-06-05T23:28:45.0466337Z   --   INCLUDE_ALL_OPS:
2025-06-05T23:28:45.0467846Z   Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_pybind_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/quantized/quantized.yaml"
2025-06-05T23:28:45.0469656Z   -- Generating kernel bindings:
2025-06-05T23:28:45.0470037Z   --   LIB_NAME: quantized_ops_pybind_lib
2025-06-05T23:28:45.0470414Z   --   FUNCTIONS_YAML:
2025-06-05T23:28:45.0470766Z   --   CUSTOM_OPS_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml
2025-06-05T23:28:45.0471258Z   --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-06-05T23:28:45.0471570Z   -- Generating operator lib:
2025-06-05T23:28:45.0471983Z   --   LIB_NAME: quantized_ops_pybind_lib
2025-06-05T23:28:45.0472307Z   --   KERNEL_LIBS: quantized_pybind_kernels_lib
2025-06-05T23:28:45.0472679Z   --   DEPS: portable_lib
2025-06-05T23:28:45.0472942Z   -- Generating operator lib:
2025-06-05T23:28:45.0473228Z   --   LIB_NAME: quantized_ops_lib
2025-06-05T23:28:45.0473719Z   --   KERNEL_LIBS: quantized_kernels
2025-06-05T23:28:45.0474012Z   --   DEPS: executorch_core
2025-06-05T23:28:45.0474290Z   -- Configuring done (18.6s)
2025-06-05T23:28:45.0474609Z   -- Generating done (0.4s)
2025-06-05T23:28:45.0475551Z   -- Build files have been written to: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out
2025-06-05T23:28:45.0477124Z   cmake --build /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out -j7 --config=Release --target openvino_backend --target portable_lib --target executorchcoreml --target custom_ops_aot_lib --target quantized_ops_aot_lib
2025-06-05T23:28:45.0478443Z   [  0%] Creating directories for 'flatbuffers_external_project'
2025-06-05T23:28:45.0478963Z   [  0%] No download step for 'flatbuffers_external_project'
2025-06-05T23:28:45.0479403Z   [  0%] No update step for 'flatbuffers_external_project'
2025-06-05T23:28:45.0479802Z   [  0%] No patch step for 'flatbuffers_external_project'
2025-06-05T23:28:45.0480434Z   [  0%] Performing configure step for 'flatbuffers_external_project'
2025-06-05T23:28:45.0480827Z   CMake Warning:
2025-06-05T23:28:45.0481160Z     Ignoring empty string ("") provided on the command line.
2025-06-05T23:28:45.0481447Z 
2025-06-05T23:28:45.0481590Z 
2025-06-05T23:28:45.0481808Z   fatal: No names found, cannot describe anything.
2025-06-05T23:28:45.0482261Z   CMake Warning at CMake/Version.cmake:32 (message):
2025-06-05T23:28:45.0482640Z     git describe failed with exit code: 128
2025-06-05T23:28:45.0482897Z 
2025-06-05T23:28:45.0483061Z     Make sure you cloned with tags or run 'git fetch --tags'.
2025-06-05T23:28:45.0483548Z   Call Stack (most recent call first):
2025-06-05T23:28:45.0483873Z     CMakeLists.txt:5 (include)
2025-06-05T23:28:45.0484046Z 
2025-06-05T23:28:45.0484050Z 
2025-06-05T23:28:45.0484169Z   -- Proceeding with version: 24.3.25.0
2025-06-05T23:28:45.0484550Z   -- The CXX compiler identification is GNU 9.5.0
2025-06-05T23:28:45.0484907Z   -- Detecting CXX compiler ABI info
2025-06-05T23:28:45.0485350Z   -- Detecting CXX compiler ABI info - done
2025-06-05T23:28:45.0485747Z   -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-06-05T23:28:45.0486179Z   -- Detecting CXX compile features
2025-06-05T23:28:45.0486499Z   -- Detecting CXX compile features - done
2025-06-05T23:28:45.0486966Z   -- Looking for strtof_l
2025-06-05T23:28:45.0487236Z   -- Looking for strtof_l - found
2025-06-05T23:28:45.0487520Z   -- Looking for strtoull_l
2025-06-05T23:28:45.0487830Z   -- Looking for strtoull_l - found
2025-06-05T23:28:45.0488120Z   -- Looking for realpath
2025-06-05T23:28:45.0488416Z   -- Looking for realpath - found
2025-06-05T23:28:45.0488859Z   -- CMAKE_CXX_FLAGS: "-DFLATBUFFERS_MAX_ALIGNMENT=1024"
2025-06-05T23:28:45.0489205Z   -- Configuring done (0.7s)
2025-06-05T23:28:45.0489525Z   -- Generating done (0.0s)
2025-06-05T23:28:45.0490593Z   -- Build files have been written to: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/src/flatbuffers_external_project-build
2025-06-05T23:28:45.0491671Z   [  0%] Performing build step for 'flatbuffers_external_project'
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2025-06-05T23:28:45.0509712Z   [ 84%] Building CXX object CMakeFiles/flatc.dir/grpc/src/compiler/cpp_generator.cc.o
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2025-06-05T23:28:45.0513321Z   [100%] Linking CXX executable flatc
2025-06-05T23:28:45.0513608Z   [100%] Built target flatc
2025-06-05T23:28:45.0513966Z   [  0%] Performing install step for 'flatbuffers_external_project'
2025-06-05T23:28:45.0514348Z   [100%] Built target flatc
2025-06-05T23:28:45.0514619Z   Install the project...
2025-06-05T23:28:45.0514882Z   -- Install configuration: ""
2025-06-05T23:28:45.0515615Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers
2025-06-05T23:28:45.0516850Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/allocator.h
2025-06-05T23:28:45.0518120Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/array.h
2025-06-05T23:28:45.0519365Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/base.h
2025-06-05T23:28:45.0520597Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/buffer.h
2025-06-05T23:28:45.0521950Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/buffer_ref.h
2025-06-05T23:28:45.0523269Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/code_generator.h
2025-06-05T23:28:45.0524597Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/code_generators.h
2025-06-05T23:28:45.9145794Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/default_allocator.h
2025-06-05T23:28:45.9148289Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/detached_buffer.h
2025-06-05T23:28:45.9151117Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/file_manager.h
2025-06-05T23:28:45.9153694Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/flatbuffer_builder.h
2025-06-05T23:28:45.9156053Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/flatbuffers.h
2025-06-05T23:28:45.9158324Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/flatc.h
2025-06-05T23:28:45.9160812Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/flex_flat_util.h
2025-06-05T23:28:45.9163268Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/flexbuffers.h
2025-06-05T23:28:45.9165681Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/grpc.h
2025-06-05T23:28:45.9167930Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/hash.h
2025-06-05T23:28:45.9170236Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/idl.h
2025-06-05T23:28:45.9172758Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/minireflect.h
2025-06-05T23:28:45.9175246Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/pch
2025-06-05T23:28:45.9177622Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/pch/flatc_pch.h
2025-06-05T23:28:45.9180020Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/pch/pch.h
2025-06-05T23:28:45.9182232Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/reflection.h
2025-06-05T23:28:45.9184619Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/reflection_generated.h
2025-06-05T23:28:45.9186943Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/registry.h
2025-06-05T23:28:45.9189418Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/stl_emulation.h
2025-06-05T23:28:45.9192144Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/string.h
2025-06-05T23:28:45.9194535Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/struct.h
2025-06-05T23:28:45.9196955Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/table.h
2025-06-05T23:28:45.9199218Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/util.h
2025-06-05T23:28:45.9201660Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/vector.h
2025-06-05T23:28:45.9204459Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/vector_downward.h
2025-06-05T23:28:45.9207066Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/verifier.h
2025-06-05T23:28:45.9209656Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/lib/cmake/flatbuffers/flatbuffers-config.cmake
2025-06-05T23:28:45.9212225Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/lib/cmake/flatbuffers/BuildFlatBuffers.cmake
2025-06-05T23:28:45.9214953Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/lib/cmake/flatbuffers/flatbuffers-config-version.cmake
2025-06-05T23:28:45.9217368Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/bin/flatc
2025-06-05T23:28:45.9219490Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/lib/cmake/flatbuffers/FlatcTargets.cmake
2025-06-05T23:28:45.9222007Z   -- Installing: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/lib/cmake/flatbuffers/FlatcTargets-noconfig.cmake
2025-06-05T23:28:45.9223562Z   [  0%] Completed 'flatbuffers_external_project'
2025-06-05T23:28:45.9224146Z   [  0%] Built target flatbuffers_external_project
2025-06-05T23:28:45.9224707Z   [  0%] Generating common_schema headers
2025-06-05T23:28:45.9225196Z   [  0%] Built target common_schema
2025-06-05T23:28:45.9225703Z   [  0%] Generating program_schema headers
2025-06-05T23:28:45.9226206Z   [  0%] Built target program_schema
2025-06-05T23:28:45.9226985Z   [  0%] Building CXX object CMakeFiles/executorch_core.dir/runtime/backend/interface.cpp.o
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2025-06-05T23:28:49.5988703Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:49.5989364Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:49.5990066Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:49.5990771Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:49.5991663Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:49.5992696Z                    from /pytorch/executorch/kernels/portable/cpu/op_add.cpp:9:
2025-06-05T23:28:49.6002902Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.6023882Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.6043178Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6059720Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6157104Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:49.6165562Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.6167406Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.6168452Z      94 |     struct array
2025-06-05T23:28:49.6168921Z         |            ^~~~~
2025-06-05T23:28:49.6170597Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:49.6172108Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.6172790Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.6182437Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.6203005Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.6222995Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6240044Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6257035Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:49.6264971Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.6266649Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.6267696Z      94 |     struct array
2025-06-05T23:28:49.6268098Z         |            ^~~~~
2025-06-05T23:28:49.6269649Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:49.6271044Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.6271742Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.6281442Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.6301097Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.6319675Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6339764Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6357364Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:49.6365451Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.6367172Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.6368214Z      94 |     struct array
2025-06-05T23:28:49.6368649Z         |            ^~~~~
2025-06-05T23:28:49.6370258Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:49.6371797Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.6372513Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.6382319Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.6403107Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.6423135Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6440279Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6456535Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:49.6464625Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.6466638Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.6467695Z      94 |     struct array
2025-06-05T23:28:49.6468113Z         |            ^~~~~
2025-06-05T23:28:49.6469772Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:49.6471279Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.6471991Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.6481279Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.6500835Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.6519392Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6536052Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6552961Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:49.6561028Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.6562739Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.6563760Z      94 |     struct array
2025-06-05T23:28:49.6564185Z         |            ^~~~~
2025-06-05T23:28:49.6565796Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:49.6567274Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.6567979Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.6577606Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.6598781Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.6618503Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6636398Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6654102Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:49.6662138Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.6663835Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.6664811Z      94 |     struct array
2025-06-05T23:28:49.6665230Z         |            ^~~~~
2025-06-05T23:28:49.6666838Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:49.6668307Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.6668994Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.6677906Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.6696901Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.6715540Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6731680Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6748628Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:49.6756858Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.6758512Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.6759454Z      94 |     struct array
2025-06-05T23:28:49.6759865Z         |            ^~~~~
2025-06-05T23:28:49.6761351Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:49.6762938Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.6763610Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.6772594Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.6789954Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.6800042Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6808530Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6817916Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:49.6824818Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.6826380Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.6827249Z      94 |     struct array
2025-06-05T23:28:49.6827601Z         |            ^~~~~
2025-06-05T23:28:49.6828999Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:49.6830183Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.6830803Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.6836674Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.6849757Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.6867922Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6883803Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6900163Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>]’
2025-06-05T23:28:49.6908215Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.6909962Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.6910983Z      94 |     struct array
2025-06-05T23:28:49.6911362Z         |            ^~~~~
2025-06-05T23:28:49.6912934Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:49.6914384Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.6915103Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.6924644Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.6945528Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.6964943Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6981306Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.6998711Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>]’
2025-06-05T23:28:49.7006759Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.7008409Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.7009398Z      94 |     struct array
2025-06-05T23:28:49.7009816Z         |            ^~~~~
2025-06-05T23:28:49.7011406Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:49.7012997Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.7013682Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.7022792Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.7042670Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.7061175Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7076510Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7088710Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>]’
2025-06-05T23:28:49.7094526Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.7095714Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.7096424Z      94 |     struct array
2025-06-05T23:28:49.7096728Z         |            ^~~~~
2025-06-05T23:28:49.7097895Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:49.7098991Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.7099570Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.7106258Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.7121347Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.7133722Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7147467Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7161321Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>]’
2025-06-05T23:28:49.7167499Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.7169015Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.7169768Z      94 |     struct array
2025-06-05T23:28:49.7170106Z         |            ^~~~~
2025-06-05T23:28:49.7171397Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:49.7172487Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.7173148Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.7181550Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.7200783Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.7218642Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7245181Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7262551Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>]’
2025-06-05T23:28:49.7269902Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.7271597Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.7272603Z      94 |     struct array
2025-06-05T23:28:49.7273015Z         |            ^~~~~
2025-06-05T23:28:49.7274554Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:49.7275999Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.7276720Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.7286181Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.7305914Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.7322759Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7337645Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7354474Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>]’
2025-06-05T23:28:49.7361920Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.7363539Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.7364486Z      94 |     struct array
2025-06-05T23:28:49.7364919Z         |            ^~~~~
2025-06-05T23:28:49.7366462Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:49.7368023Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.7368708Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.7377289Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.7396540Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.7415281Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7431750Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7449369Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>]’
2025-06-05T23:28:49.7457489Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.7459163Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.7460149Z      94 |     struct array
2025-06-05T23:28:49.7460587Z         |            ^~~~~
2025-06-05T23:28:49.7462096Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:49.7463533Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.7464257Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.7473917Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.7494980Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.7514222Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7530957Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7548334Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::add_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>]’
2025-06-05T23:28:49.7556430Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:28:49.7558239Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.7559244Z      94 |     struct array
2025-06-05T23:28:49.7559667Z         |            ^~~~~
2025-06-05T23:28:49.7561204Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:49.7562646Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.7563363Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.7571842Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.7589978Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.7607187Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7622088Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7637860Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>]’
2025-06-05T23:28:49.7645148Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.7646923Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.7647983Z      94 |     struct array
2025-06-05T23:28:49.7648419Z         |            ^~~~~
2025-06-05T23:28:49.7650134Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:49.7651698Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.7652315Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.7661142Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.7679741Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.7698194Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7713337Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7728541Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>]’
2025-06-05T23:28:49.7736189Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.7737963Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.7739039Z      94 |     struct array
2025-06-05T23:28:49.7739461Z         |            ^~~~~
2025-06-05T23:28:49.7741188Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:49.7742912Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.7743640Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.7752041Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.7769951Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.7787090Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7801855Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7817393Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>]’
2025-06-05T23:28:49.7824778Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.7826415Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.7827479Z      94 |     struct array
2025-06-05T23:28:49.7827904Z         |            ^~~~~
2025-06-05T23:28:49.7829822Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:49.7831375Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.7832080Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.7840929Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.7859860Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.7878178Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7893305Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7908586Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>]’
2025-06-05T23:28:49.7915961Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.7917680Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.7918724Z      94 |     struct array
2025-06-05T23:28:49.7919146Z         |            ^~~~~
2025-06-05T23:28:49.7920818Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:49.7922354Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.7923073Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.7931185Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.7949066Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.7965844Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7975086Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.7990207Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>]’
2025-06-05T23:28:49.7997684Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.7999265Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.8000307Z      94 |     struct array
2025-06-05T23:28:49.8000818Z         |            ^~~~~
2025-06-05T23:28:49.8002466Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:49.8003970Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.8004693Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.8013540Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.8032130Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.8049738Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8063345Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8077026Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>]’
2025-06-05T23:28:49.8083747Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.8085394Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.8086348Z      94 |     struct array
2025-06-05T23:28:49.8086766Z         |            ^~~~~
2025-06-05T23:28:49.8088229Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:49.8089548Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.8090176Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.8097567Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.8114181Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.8123227Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8137367Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8151734Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>]’
2025-06-05T23:28:49.8159078Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.8160738Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.8161702Z      94 |     struct array
2025-06-05T23:28:49.8162134Z         |            ^~~~~
2025-06-05T23:28:49.8163626Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:49.8165004Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.8165644Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.8171437Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.8189519Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.8206481Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8221312Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8236265Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>]’
2025-06-05T23:28:49.8243117Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.8244730Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.8245687Z      94 |     struct array
2025-06-05T23:28:49.8246112Z         |            ^~~~~
2025-06-05T23:28:49.8247511Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:49.8248791Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.8249457Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.8257098Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.8270943Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.8282668Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8293361Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8303767Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>]’
2025-06-05T23:28:49.8310792Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.8312388Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.8313304Z      94 |     struct array
2025-06-05T23:28:49.8313723Z         |            ^~~~~
2025-06-05T23:28:49.8315271Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:49.8316797Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.8317451Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.8325644Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.8343154Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.8360956Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8376069Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8391470Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>]’
2025-06-05T23:28:49.8398799Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.8400468Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.8401514Z      94 |     struct array
2025-06-05T23:28:49.8401934Z         |            ^~~~~
2025-06-05T23:28:49.8403566Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:49.8405043Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.8405781Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.8414051Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.8431702Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.8454740Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8468379Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8483652Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30)>]’
2025-06-05T23:28:49.8491046Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.8492705Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.8493819Z      94 |     struct array
2025-06-05T23:28:49.8494259Z         |            ^~~~~
2025-06-05T23:28:49.8495806Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:49.8497268Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.8497989Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.8506729Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.8525661Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.8543886Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8558962Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8574213Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30)>]’
2025-06-05T23:28:49.8581688Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.8583488Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.8584513Z      94 |     struct array
2025-06-05T23:28:49.8584933Z         |            ^~~~~
2025-06-05T23:28:49.8586479Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:49.8587925Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.8588646Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.8596760Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:31)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.8604441Z   [ 16%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-qs8-vcvt/gen/f16-qs8-vcvt-scalar-imagic-u4.c.o
2025-06-05T23:28:49.8616728Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:31)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.8633533Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:31)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8648415Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:31)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8663733Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:31)>]’
2025-06-05T23:28:49.8671088Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.8672736Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.8673760Z      94 |     struct array
2025-06-05T23:28:49.8674184Z         |            ^~~~~
2025-06-05T23:28:49.8675763Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:49.8677224Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.8677951Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.8686715Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:31)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.8705665Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:31)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.8723689Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:31)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8738970Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:31)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8754301Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:31)>]’
2025-06-05T23:28:49.8761768Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.8763447Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.8764469Z      94 |     struct array
2025-06-05T23:28:49.8764898Z         |            ^~~~~
2025-06-05T23:28:49.8766435Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:49.8768039Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.8768763Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.8776943Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.8794608Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.8811472Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8826213Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8840251Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:32)>]’
2025-06-05T23:28:49.8847463Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.8849139Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.8850124Z      94 |     struct array
2025-06-05T23:28:49.8850552Z         |            ^~~~~
2025-06-05T23:28:49.8852062Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:49.8853573Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.8854284Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.8862970Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.8881770Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.8899659Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8914449Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.8929595Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::add_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:32)>]’
2025-06-05T23:28:49.8936950Z   /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:28:49.8938629Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:49.8939728Z      94 |     struct array
2025-06-05T23:28:49.8940141Z         |            ^~~~~
2025-06-05T23:28:49.8941686Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:49.8943169Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.8943882Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.8945670Z   [ 16%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u32.c.o
2025-06-05T23:28:49.8947923Z   [ 16%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_allclose.cpp.o
2025-06-05T23:28:49.8949088Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:49.8949868Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:49.8950601Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:49.8951326Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:49.8952220Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:49.8953317Z                    from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:28:49.8962241Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.8980633Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.8998265Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9013999Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9027920Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:49.9032743Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:49.9034314Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.9035263Z      94 |     struct array
2025-06-05T23:28:49.9035667Z         |            ^~~~~
2025-06-05T23:28:49.9037196Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:49.9038599Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.9039248Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.9047244Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.9066874Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.9087972Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9106098Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9124016Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:49.9133276Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:49.9135309Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.9136710Z      94 |     struct array
2025-06-05T23:28:49.9137200Z         |            ^~~~~
2025-06-05T23:28:49.9139167Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:49.9140964Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.9141779Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.9151611Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.9169913Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.9187178Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9202323Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9216381Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:49.9220304Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:49.9221258Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.9221813Z      94 |     struct array
2025-06-05T23:28:49.9222062Z         |            ^~~~~
2025-06-05T23:28:49.9222939Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:49.9223759Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.9224141Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.9229159Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.9243227Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.9263210Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9274881Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9283006Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:49.9287019Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:49.9287919Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.9288491Z      94 |     struct array
2025-06-05T23:28:49.9288794Z         |            ^~~~~
2025-06-05T23:28:49.9289676Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:49.9290484Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.9290874Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.9297832Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.9312328Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.9326039Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9339073Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9354473Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:49.9359367Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:49.9360348Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.9360914Z      94 |     struct array
2025-06-05T23:28:49.9361154Z         |            ^~~~~
2025-06-05T23:28:49.9362030Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:49.9362827Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.9363226Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.9367916Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.9378167Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.9387707Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9395735Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9403756Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:49.9407692Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:49.9408585Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.9409130Z      94 |     struct array
2025-06-05T23:28:49.9409380Z         |            ^~~~~
2025-06-05T23:28:49.9410279Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:49.9411080Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.9411477Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.9415934Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.9425264Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.9436496Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9450008Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9462145Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:49.9466025Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:49.9466905Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.9467441Z      94 |     struct array
2025-06-05T23:28:49.9467675Z         |            ^~~~~
2025-06-05T23:28:49.9468481Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:49.9469232Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.9469630Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.9474374Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.9484387Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.9493979Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9501963Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9509933Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:49.9513860Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:49.9514720Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.9515240Z      94 |     struct array
2025-06-05T23:28:49.9515486Z         |            ^~~~~
2025-06-05T23:28:49.9516266Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:49.9517080Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.9517476Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.9521896Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.9531583Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.9540710Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9548690Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9558384Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>]’
2025-06-05T23:28:49.9565243Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:49.9566820Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.9567778Z      94 |     struct array
2025-06-05T23:28:49.9568175Z         |            ^~~~~
2025-06-05T23:28:49.9569829Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:49.9571325Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.9571994Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.9580845Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.9598851Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.9615455Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9628733Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9640411Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>]’
2025-06-05T23:28:49.9644354Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:49.9645268Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.9645810Z      94 |     struct array
2025-06-05T23:28:49.9646057Z         |            ^~~~~
2025-06-05T23:28:49.9646907Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:49.9647692Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.9648089Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.9652474Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.9661941Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.9676620Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9691633Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9707009Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>]’
2025-06-05T23:28:49.9714651Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:49.9716368Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.9717392Z      94 |     struct array
2025-06-05T23:28:49.9717792Z         |            ^~~~~
2025-06-05T23:28:49.9719231Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:49.9720566Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.9721231Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.9744573Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.9762642Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.9777062Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9785091Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9793252Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>]’
2025-06-05T23:28:49.9797110Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:49.9798013Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.9798816Z      94 |     struct array
2025-06-05T23:28:49.9799233Z         |            ^~~~~
2025-06-05T23:28:49.9800646Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:49.9801907Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.9802456Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.9809123Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.9823477Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:49.9837313Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9849183Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9864441Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>]’
2025-06-05T23:28:49.9871691Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:49.9873409Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.9874373Z      94 |     struct array
2025-06-05T23:28:49.9874768Z         |            ^~~~~
2025-06-05T23:28:49.9876167Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:49.9877499Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.9878156Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.9886669Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:49.9901175Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:49.9919627Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9938946Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:49.9955053Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>]’
2025-06-05T23:28:49.9962526Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:49.9964259Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:49.9965417Z      94 |     struct array
2025-06-05T23:28:49.9965833Z         |            ^~~~~
2025-06-05T23:28:49.9967422Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:49.9968875Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:49.9969604Z         |                                                        ^~~~~~~~
2025-06-05T23:28:49.9978261Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:49.9996597Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:50.0014471Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:50.0029637Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:50.0045499Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>]’
2025-06-05T23:28:50.0053219Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:50.0054916Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:50.0055933Z      94 |     struct array
2025-06-05T23:28:50.0056375Z         |            ^~~~~
2025-06-05T23:28:50.0057220Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:50.0058551Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:50.0059769Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:50.0060980Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:28:50.0062209Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:28:50.0063414Z                    from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:28:50.0066032Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:50.0067749Z     384 |   unsigned short x;
2025-06-05T23:28:50.0068187Z         |                  ^
2025-06-05T23:28:50.0068682Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:50.0069253Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:50.0069953Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:50.0070675Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:50.0071525Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:50.0072739Z                    from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:28:50.0082071Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:50.0102181Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:50.0121367Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:50.0137502Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:50.0153219Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23, auto:24)>]’
2025-06-05T23:28:50.0160733Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:50.0162458Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:50.0163498Z      94 |     struct array
2025-06-05T23:28:50.0163906Z         |            ^~~~~
2025-06-05T23:28:50.0164755Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:50.0166076Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:50.0167280Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:50.0168836Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:28:50.0170048Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:28:50.0171110Z                    from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:28:50.0173862Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:50.0175605Z     384 |   unsigned short x;
2025-06-05T23:28:50.0176057Z         |                  ^
2025-06-05T23:28:50.0176573Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:50.0177230Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:50.0177952Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:50.0178795Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:50.0179769Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:50.0180840Z                    from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:28:50.0185763Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:50.0195300Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:50.0204416Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:50.0212285Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:50.0220504Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25, auto:26)>]’
2025-06-05T23:28:50.0227368Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:50.0229319Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:50.0230354Z      94 |     struct array
2025-06-05T23:28:50.0230783Z         |            ^~~~~
2025-06-05T23:28:50.0231643Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:50.0232906Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:50.0234119Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:28:50.0235308Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:28:50.0236399Z                    from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:28:50.0238851Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:50.0240541Z      84 |   uint16_t x;
2025-06-05T23:28:50.0240905Z         |            ^
2025-06-05T23:28:50.0241381Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:50.0242039Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:50.0242739Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:50.0243460Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:50.0244360Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:50.0245420Z                    from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:28:50.0254984Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:50.0274279Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:50.0292691Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.0538208Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.0554738Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::addmm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, const Tensor&, const Scalar&, const Scalar&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25, auto:26)>]’
2025-06-05T23:28:51.0562594Z   /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:28:51.0564487Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.0565772Z      94 |     struct array
2025-06-05T23:28:51.0566283Z         |            ^~~~~
2025-06-05T23:28:51.0567242Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:51.0568606Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:51.0569974Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:28:51.0571269Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:28:51.0572408Z                    from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:28:51.0575047Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:51.0576839Z      84 |   uint16_t x;
2025-06-05T23:28:51.0577307Z         |            ^
2025-06-05T23:28:51.0578275Z   [ 16%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_amax.cpp.o
2025-06-05T23:28:51.0580186Z   [ 16%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-rminmax/f16-rmax-f16c-u32.c.o
2025-06-05T23:28:51.0583041Z   /pytorch/executorch/kernels/optimized/blas/BlasKernel.cpp: In function ‘float executorch::cpublas::internal::{anonymous}::reduce(at::vec::CPU_CAPABILITY::Vectorized<float>)’:
2025-06-05T23:28:51.0585730Z   /pytorch/executorch/kernels/optimized/blas/BlasKernel.cpp:74:7: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2025-06-05T23:28:51.0587353Z      74 | float reduce(vec::Vectorized<float> x) {
2025-06-05T23:28:51.0587982Z         |       ^~~~~~
2025-06-05T23:28:51.0588812Z   [ 16%] Building CXX object kernels/optimized/CMakeFiles/cpublas.dir/blas/CPUBlas.cpp.o
2025-06-05T23:28:51.0590187Z   [ 16%] Building CXX object devtools/etdump/CMakeFiles/etdump.dir/data_sinks/file_data_sink.cpp.o
2025-06-05T23:28:51.0592134Z   [ 16%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-rminmax/gen/f16-rmax-avx512skx-u64-acc4.c.o
2025-06-05T23:28:51.0594376Z   [ 16%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-rminmax/gen/f16-rmax-scalar-u2-acc2.c.o
2025-06-05T23:28:51.0596216Z   [ 16%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_amin.cpp.o
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2025-06-05T23:28:51.0599134Z   [ 17%] Linking CXX static library libcpublas.a
2025-06-05T23:28:51.0600281Z   [ 17%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_any.cpp.o
2025-06-05T23:28:51.0601377Z   [ 17%] Built target cpublas
2025-06-05T23:28:51.0602868Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-rminmax/gen/f16-rminmax-avx512skx-u64-acc4.c.o
2025-06-05T23:28:51.0605048Z   [ 17%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/binary_ops.cpp.o
2025-06-05T23:28:51.0606667Z   [ 17%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_arange.cpp.o
2025-06-05T23:28:51.0608531Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/argmax-pooling-nhwc.c.o
2025-06-05T23:28:51.0610373Z   [ 17%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_argmax.cpp.o
2025-06-05T23:28:51.0611355Z   [ 17%] Linking CXX static library libetdump.a
2025-06-05T23:28:51.0611924Z   [ 17%] Built target etdump
2025-06-05T23:28:51.0612820Z   [ 17%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_argmin.cpp.o
2025-06-05T23:28:51.0614786Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-rminmax/gen/f16-rminmax-scalar-u2-acc2.c.o
2025-06-05T23:28:51.0616971Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/average-pooling-nhwc.c.o
2025-06-05T23:28:51.0618725Z   [ 17%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_add.cpp.o
2025-06-05T23:28:51.0620663Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vadd-f16c-u16.c.o
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2025-06-05T23:28:51.0624778Z   [ 17%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_bmm.cpp.o
2025-06-05T23:28:51.0626228Z   [ 17%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_div.cpp.o
2025-06-05T23:28:51.0627856Z   [ 18%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_as_strided_copy.cpp.o
2025-06-05T23:28:51.0630853Z   [ 18%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/batch-matrix-multiply-nc.c.o
2025-06-05T23:28:51.0632959Z   [ 19%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/binary-elementwise-nd.c.o
2025-06-05T23:28:51.0635344Z   [ 19%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vdiv-f16c-u8.c.o
2025-06-05T23:28:51.0637466Z   [ 19%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/channel-shuffle-nc.c.o
2025-06-05T23:28:51.0639607Z   [ 19%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vdivc-f16c-u8.c.o
2025-06-05T23:28:51.0641564Z   [ 19%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_asin.cpp.o
2025-06-05T23:28:51.0643363Z   [ 19%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/constant-pad-nd.c.o
2025-06-05T23:28:51.0645469Z   [ 19%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vmax-f16c-u16.c.o
2025-06-05T23:28:51.0647412Z   [ 19%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_asinh.cpp.o
2025-06-05T23:28:51.0649033Z   [ 19%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_atan.cpp.o
2025-06-05T23:28:51.0650833Z   [ 19%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/convolution-nchw.c.o
2025-06-05T23:28:51.0653000Z   [ 19%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vmaxc-f16c-u16.c.o
2025-06-05T23:28:51.0655255Z   [ 19%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vmin-f16c-u16.c.o
2025-06-05T23:28:51.0657337Z   [ 19%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_atan2.cpp.o
2025-06-05T23:28:51.0659370Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vminc-f16c-u16.c.o
2025-06-05T23:28:51.2201894Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/convolution-nhwc.c.o
2025-06-05T23:28:51.2203986Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vmul-f16c-u16.c.o
2025-06-05T23:28:51.2205529Z   In file included from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:44,
2025-06-05T23:28:51.2206667Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:28:51.2207989Z                    from /pytorch/executorch/../executorch/kernels/optimized/cpu/binary_ops.h:12,
2025-06-05T23:28:51.2209000Z                    from /pytorch/executorch/kernels/optimized/cpu/op_add.cpp:9:
2025-06-05T23:28:51.2210071Z   /pytorch/executorch/kernels/optimized/cpu/op_add.cpp: In lambda function:
2025-06-05T23:28:51.2211726Z   /pytorch/executorch/kernels/optimized/cpu/op_add.cpp:56:15: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2025-06-05T23:28:51.2213306Z      56 |               [alpha_val, b_casted](Vec x) {
2025-06-05T23:28:51.2213851Z         |               ^
2025-06-05T23:28:51.2215504Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:914:7: note: in definition of macro ‘ET_INTERNAL_SWITCH’
2025-06-05T23:28:51.2216863Z     914 |       __VA_ARGS__                                    \
2025-06-05T23:28:51.2217415Z         |       ^~~~~~~~~~~
2025-06-05T23:28:51.2218902Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:925:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2025-06-05T23:28:51.2220402Z     925 |   ET_INTERNAL_SWITCH_CASE(                                             \
2025-06-05T23:28:51.2221100Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.2222716Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:951:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_INT_TYPES’
2025-06-05T23:28:51.2224322Z     951 |   ET_INTERNAL_SWITCH_CASE_INT_TYPES(CTYPE_ALIAS, __VA_ARGS__) \
2025-06-05T23:28:51.2225024Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.2226557Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1002:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2025-06-05T23:28:51.2228152Z    1002 |   ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
2025-06-05T23:28:51.2229069Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.2230520Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1130:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND’
2025-06-05T23:28:51.2231865Z    1130 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND(          \
2025-06-05T23:28:51.2232495Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.2234105Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1166:3: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES_AND’
2025-06-05T23:28:51.2235743Z    1166 |   ET_SWITCH_REAL_TYPES_AND(Bool, TYPE, CONTEXT, NAME, CTYPE_ALIAS, __VA_ARGS__)
2025-06-05T23:28:51.2236502Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.2237739Z   /pytorch/executorch/kernels/optimized/cpu/op_add.cpp:44:7: note: in expansion of macro ‘ET_SWITCH_REALB_TYPES’
2025-06-05T23:28:51.2239023Z      44 |       ET_SWITCH_REALB_TYPES(a_type, ctx, "add.out", CTYPE, [&]() {
2025-06-05T23:28:51.2239701Z         |       ^~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.2241197Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1126:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH’
2025-06-05T23:28:51.2242860Z    1126 |   ET_INTERNAL_SWITCH(                                  \
2025-06-05T23:28:51.2243475Z         |   ^~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.2244980Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:925:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2025-06-05T23:28:51.2246461Z     925 |   ET_INTERNAL_SWITCH_CASE(                                             \
2025-06-05T23:28:51.2247159Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.2248766Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:951:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_INT_TYPES’
2025-06-05T23:28:51.2250321Z     951 |   ET_INTERNAL_SWITCH_CASE_INT_TYPES(CTYPE_ALIAS, __VA_ARGS__) \
2025-06-05T23:28:51.2251051Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.2252828Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1002:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2025-06-05T23:28:51.2254629Z    1002 |   ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
2025-06-05T23:28:51.2255460Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.2257235Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1130:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND’
2025-06-05T23:28:51.2258822Z    1130 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND(          \
2025-06-05T23:28:51.2259466Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.2261063Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1166:3: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES_AND’
2025-06-05T23:28:51.2262668Z    1166 |   ET_SWITCH_REAL_TYPES_AND(Bool, TYPE, CONTEXT, NAME, CTYPE_ALIAS, __VA_ARGS__)
2025-06-05T23:28:51.2263466Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.2264727Z   /pytorch/executorch/kernels/optimized/cpu/op_add.cpp:45:9: note: in expansion of macro ‘ET_SWITCH_REALB_TYPES’
2025-06-05T23:28:51.2266002Z      45 |         ET_SWITCH_REALB_TYPES(b_type, ctx, "add.out", CTYPE_B, [&]() {
2025-06-05T23:28:51.2266670Z         |         ^~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.2267584Z   [ 20%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_elu.cpp.o
2025-06-05T23:28:51.2268622Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:51.2269276Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:51.2269973Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:51.2270693Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:51.2271668Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:51.2273027Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:28:51.2274187Z                    from /pytorch/executorch/kernels/portable/cpu/op_atan2.cpp:9:
2025-06-05T23:28:51.2282938Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:51.2301898Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:51.2319960Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.2337148Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.2353300Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:51.2358997Z   /pytorch/executorch/kernels/portable/cpu/op_atan2.cpp:57:3:   required from here
2025-06-05T23:28:51.2360234Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.2360854Z      94 |     struct array
2025-06-05T23:28:51.2361092Z         |            ^~~~~
2025-06-05T23:28:51.2361934Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:51.2362789Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.2363270Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.2369602Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:51.2382406Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:51.2393830Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.2406879Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.2422436Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:51.2431136Z   /pytorch/executorch/kernels/portable/cpu/op_atan2.cpp:57:3:   required from here
2025-06-05T23:28:51.2432954Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.2434069Z      94 |     struct array
2025-06-05T23:28:51.2434498Z         |            ^~~~~
2025-06-05T23:28:51.2436258Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:51.2437736Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.2438400Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.2445825Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:51.2464029Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:51.2480684Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.2494567Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.2508101Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:51.2515139Z   /pytorch/executorch/kernels/portable/cpu/op_atan2.cpp:57:3:   required from here
2025-06-05T23:28:51.2516819Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.2517797Z      94 |     struct array
2025-06-05T23:28:51.2518222Z         |            ^~~~~
2025-06-05T23:28:51.2519740Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:51.2521068Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.2521779Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.4409953Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:51.4429834Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:51.4448987Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.4465526Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.4481785Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::atan2_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:51.4489536Z   /pytorch/executorch/kernels/portable/cpu/op_atan2.cpp:57:3:   required from here
2025-06-05T23:28:51.4491266Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.4492298Z      94 |     struct array
2025-06-05T23:28:51.4492720Z         |            ^~~~~
2025-06-05T23:28:51.4494324Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:51.4495777Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.4496469Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.4497578Z   [ 20%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_atanh.cpp.o
2025-06-05T23:28:51.4499334Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/deconvolution-nhwc.c.o
2025-06-05T23:28:51.4501265Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/dynamic-fully-connected-nc.c.o
2025-06-05T23:28:51.4503411Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vmulc-f16c-u16.c.o
2025-06-05T23:28:51.4505598Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/fully-connected-nc.c.o
2025-06-05T23:28:51.4507788Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vprelu-f16c-u16.c.o
2025-06-05T23:28:51.4510086Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vpreluc-f16c-u16.c.o
2025-06-05T23:28:51.4511931Z   In file included from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:44,
2025-06-05T23:28:51.4513267Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:28:51.4514454Z                    from /pytorch/executorch/../executorch/kernels/optimized/cpu/binary_ops.h:12,
2025-06-05T23:28:51.4515512Z                    from /pytorch/executorch/kernels/optimized/cpu/op_div.cpp:9:
2025-06-05T23:28:51.4516586Z   /pytorch/executorch/kernels/optimized/cpu/op_div.cpp: In lambda function:
2025-06-05T23:28:51.4518253Z   /pytorch/executorch/kernels/optimized/cpu/op_div.cpp:82:17: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2025-06-05T23:28:51.4519798Z      82 |                 [scalar_casted](Vec x) { return Vec(scalar_casted) / x; },
2025-06-05T23:28:51.4520532Z         |                 ^
2025-06-05T23:28:51.4522072Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:914:7: note: in definition of macro ‘ET_INTERNAL_SWITCH’
2025-06-05T23:28:51.4523434Z     914 |       __VA_ARGS__                                    \
2025-06-05T23:28:51.4524013Z         |       ^~~~~~~~~~~
2025-06-05T23:28:51.4525527Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:925:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2025-06-05T23:28:51.4527055Z     925 |   ET_INTERNAL_SWITCH_CASE(                                             \
2025-06-05T23:28:51.4527781Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.8065545Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:951:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_INT_TYPES’
2025-06-05T23:28:51.8067194Z     951 |   ET_INTERNAL_SWITCH_CASE_INT_TYPES(CTYPE_ALIAS, __VA_ARGS__) \
2025-06-05T23:28:51.8067950Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.8069650Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1002:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2025-06-05T23:28:51.8071351Z    1002 |   ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
2025-06-05T23:28:51.8072191Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.8073884Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1130:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND’
2025-06-05T23:28:51.8075470Z    1130 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND(          \
2025-06-05T23:28:51.8076134Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.8077787Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1166:3: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES_AND’
2025-06-05T23:28:51.8079438Z    1166 |   ET_SWITCH_REAL_TYPES_AND(Bool, TYPE, CONTEXT, NAME, CTYPE_ALIAS, __VA_ARGS__)
2025-06-05T23:28:51.8080239Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.8081515Z   /pytorch/executorch/kernels/optimized/cpu/op_div.cpp:74:7: note: in expansion of macro ‘ET_SWITCH_REALB_TYPES’
2025-06-05T23:28:51.8082792Z      74 |       ET_SWITCH_REALB_TYPES(tensor_type, ctx, "div.out", CTYPE, [&]() {
2025-06-05T23:28:51.8083525Z         |       ^~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.8085073Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1126:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH’
2025-06-05T23:28:51.8086498Z    1126 |   ET_INTERNAL_SWITCH(                                  \
2025-06-05T23:28:51.8087344Z         |   ^~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.8088948Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:925:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2025-06-05T23:28:51.8090466Z     925 |   ET_INTERNAL_SWITCH_CASE(                                             \
2025-06-05T23:28:51.8091186Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.8092806Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:951:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_INT_TYPES’
2025-06-05T23:28:51.8094488Z     951 |   ET_INTERNAL_SWITCH_CASE_INT_TYPES(CTYPE_ALIAS, __VA_ARGS__) \
2025-06-05T23:28:51.8095201Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.8096899Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1002:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2025-06-05T23:28:51.8098760Z    1002 |   ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
2025-06-05T23:28:51.8099575Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.8101290Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1130:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND’
2025-06-05T23:28:51.8102853Z    1130 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND(          \
2025-06-05T23:28:51.8103512Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.8105133Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1166:3: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES_AND’
2025-06-05T23:28:51.8106761Z    1166 |   ET_SWITCH_REAL_TYPES_AND(Bool, TYPE, CONTEXT, NAME, CTYPE_ALIAS, __VA_ARGS__)
2025-06-05T23:28:51.8107587Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.8108874Z   /pytorch/executorch/kernels/optimized/cpu/op_div.cpp:75:9: note: in expansion of macro ‘ET_SWITCH_REALB_TYPES’
2025-06-05T23:28:51.8110243Z      75 |         ET_SWITCH_REALB_TYPES(scalar_type, ctx, "div.out", CTYPE_SCALAR, [&]() {
2025-06-05T23:28:51.8111016Z         |         ^~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:51.8112076Z   [ 20%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_avg_pool2d.cpp.o
2025-06-05T23:28:51.8113811Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/max-pooling-nhwc.c.o
2025-06-05T23:28:51.8115319Z   In file included from /pytorch/executorch/kernels/optimized/cpu/op_elu.cpp:9:
2025-06-05T23:28:51.8116736Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Elu.h: In lambda function:
2025-06-05T23:28:51.8118932Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Elu.h:44:10: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2025-06-05T23:28:51.8121044Z      44 |   return [negcoef_vec, poscoef_vec, negiptcoef_vec, zero_vec](vec::Vectorized<T> a) -> vec::Vectorized<T> {
2025-06-05T23:28:51.8122019Z         |          ^
2025-06-05T23:28:51.8122827Z   [ 20%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_exp.cpp.o
2025-06-05T23:28:51.8124253Z   [ 20%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_fft_c2r.cpp.o
2025-06-05T23:28:51.8125824Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/pack-lh.c.o
2025-06-05T23:28:51.8127392Z   [ 20%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_fft_r2c.cpp.o
2025-06-05T23:28:51.8129353Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vrdivc-f16c-u8.c.o
2025-06-05T23:28:51.8131275Z   [ 20%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_bitwise_and.cpp.o
2025-06-05T23:28:51.8132885Z   [ 20%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_bitwise_not.cpp.o
2025-06-05T23:28:51.8134946Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/reduce-nd.c.o
2025-06-05T23:28:51.8136407Z   /pytorch/executorch/kernels/optimized/cpu/op_exp.cpp: In lambda function:
2025-06-05T23:28:51.8138115Z   /pytorch/executorch/kernels/optimized/cpu/op_exp.cpp:39:7: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2025-06-05T23:28:51.8139552Z      39 |       [](Vec x) { return x.exp(); }, out_data, in_data, numel);
2025-06-05T23:28:51.8140178Z         |       ^
2025-06-05T23:28:51.8141283Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/resize-bilinear-nchw.c.o
2025-06-05T23:28:51.8142968Z   [ 20%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_gelu.cpp.o
2025-06-05T23:28:51.8144420Z   [ 20%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_le.cpp.o
2025-06-05T23:28:51.8145447Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:51.8146103Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:51.8146807Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:51.8147594Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:51.8148481Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:51.8149735Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:11,
2025-06-05T23:28:51.8150900Z                    from /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:9:
2025-06-05T23:28:51.8158249Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::bit_and<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:51.8173909Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::bit_and<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:51.8188723Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::bit_and<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8201017Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_and<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8213050Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_and<unsigned char>]’
2025-06-05T23:28:51.8223214Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.8227581Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:28:51.8229513Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.8230595Z      94 |     struct array
2025-06-05T23:28:51.8231007Z         |            ^~~~~
2025-06-05T23:28:51.8232706Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:51.8234286Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.8234999Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.8242459Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:51.8259072Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:51.8274676Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8287382Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_and<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8300051Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_and<unsigned char>]’
2025-06-05T23:28:51.8310003Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.8314410Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:28:51.8316251Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.8317324Z      94 |     struct array
2025-06-05T23:28:51.8317751Z         |            ^~~~~
2025-06-05T23:28:51.8319459Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:51.8320979Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.8321674Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.8328719Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::bit_and<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:51.8342946Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::bit_and<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:51.8356301Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::bit_and<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8368022Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_and<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8379762Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_and<signed char>]’
2025-06-05T23:28:51.8389080Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.8393157Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:28:51.8394914Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.8395875Z      94 |     struct array
2025-06-05T23:28:51.8396275Z         |            ^~~~~
2025-06-05T23:28:51.8397915Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:51.8399429Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.8400130Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.8405463Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:51.8416162Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:51.8427197Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8438391Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_and<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8449210Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_and<signed char>]’
2025-06-05T23:28:51.8458772Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.8463025Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:28:51.8464748Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.8465797Z      94 |     struct array
2025-06-05T23:28:51.8466233Z         |            ^~~~~
2025-06-05T23:28:51.8467866Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:51.8469285Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.8469965Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.8476479Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::bit_and<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:51.8490690Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::bit_and<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:51.8504581Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::bit_and<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8515801Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_and<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8527745Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_and<short int>]’
2025-06-05T23:28:51.8537272Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.8541327Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:28:51.8542953Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.8543952Z      94 |     struct array
2025-06-05T23:28:51.8544336Z         |            ^~~~~
2025-06-05T23:28:51.8545852Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:51.8547241Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.8547975Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.8554496Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:51.8567151Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:51.8582824Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8595362Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_and<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8606259Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_and<short int>]’
2025-06-05T23:28:51.8612282Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.8614617Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:28:51.8615557Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.8616110Z      94 |     struct array
2025-06-05T23:28:51.8616355Z         |            ^~~~~
2025-06-05T23:28:51.8617196Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:51.8617998Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.8618394Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.8621830Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::bit_and<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:51.8629773Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::bit_and<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:51.8638009Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::bit_and<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8649517Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_and<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8661071Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_and<int>]’
2025-06-05T23:28:51.8669805Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.8672150Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:28:51.8673097Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.8673639Z      94 |     struct array
2025-06-05T23:28:51.8673877Z         |            ^~~~~
2025-06-05T23:28:51.8674929Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:51.8676302Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.8677009Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.8684332Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:51.8699597Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:51.8707429Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8713684Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_and<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8721403Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_and<int>]’
2025-06-05T23:28:51.8731150Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.8735157Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:28:51.8736904Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.8737852Z      94 |     struct array
2025-06-05T23:28:51.8738262Z         |            ^~~~~
2025-06-05T23:28:51.8739897Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:51.8741309Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.8742018Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.8748740Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::bit_and<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:51.8763464Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::bit_and<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:51.8777570Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::bit_and<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8789521Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_and<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8801993Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_and<long int>]’
2025-06-05T23:28:51.8811897Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.8816216Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:28:51.8817958Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.8818964Z      94 |     struct array
2025-06-05T23:28:51.8819380Z         |            ^~~~~
2025-06-05T23:28:51.8820972Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:51.8822451Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.8823075Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.8830426Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:51.8846327Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:51.8858897Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8867683Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_and<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8876364Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_and<long int>]’
2025-06-05T23:28:51.8883285Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.8886334Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:28:51.8887565Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.8888327Z      94 |     struct array
2025-06-05T23:28:51.8888718Z         |            ^~~~~
2025-06-05T23:28:51.8890092Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:51.8891346Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.8892067Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.8897991Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::bit_and<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:51.8910169Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::bit_and<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:51.8921546Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::bit_and<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8931193Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_and<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.8942443Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_and<bool>]’
2025-06-05T23:28:51.8952249Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.8956364Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:28:51.8958133Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.8959178Z      94 |     struct array
2025-06-05T23:28:51.8959731Z         |            ^~~~~
2025-06-05T23:28:51.8961232Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:51.8962567Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.8963244Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.8970498Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:51.8985757Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:51.8999772Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_and<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9012075Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_and<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9024585Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_and<bool>]’
2025-06-05T23:28:51.9033642Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.9038002Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:28:51.9039731Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:51.9040737Z      94 |     struct array
2025-06-05T23:28:51.9041143Z         |            ^~~~~
2025-06-05T23:28:51.9042704Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:51.9044117Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.9044820Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.9054061Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:51.9074290Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:51.9093215Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9109611Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9126936Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:51.9138583Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.9142957Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:28:51.9145090Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:51.9146160Z      94 |     struct array
2025-06-05T23:28:51.9146601Z         |            ^~~~~
2025-06-05T23:28:51.9148321Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:51.9149914Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.9150646Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.9160368Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:51.9181275Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:51.9201223Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9218166Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9235122Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:51.9247221Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.9251569Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:28:51.9253403Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:51.9254595Z      94 |     struct array
2025-06-05T23:28:51.9255011Z         |            ^~~~~
2025-06-05T23:28:51.9256791Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:51.9258373Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.9259145Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.9268301Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:51.9287534Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:51.9305974Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9322411Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9339965Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:51.9351964Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.9356341Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:28:51.9358080Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:51.9359124Z      94 |     struct array
2025-06-05T23:28:51.9359555Z         |            ^~~~~
2025-06-05T23:28:51.9361207Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:51.9362769Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.9363509Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.9373350Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:51.9394284Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:51.9413779Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9430702Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9447941Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:51.9460190Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.9464495Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:28:51.9466188Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:51.9467159Z      94 |     struct array
2025-06-05T23:28:51.9467508Z         |            ^~~~~
2025-06-05T23:28:51.9468935Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:51.9470336Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.9470932Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.9472106Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/resize-bilinear-nhwc.c.o
2025-06-05T23:28:51.9481878Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:51.9501326Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:51.9520024Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9536156Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9553309Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:51.9565224Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.9569732Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:28:51.9571437Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:51.9572541Z      94 |     struct array
2025-06-05T23:28:51.9573040Z         |            ^~~~~
2025-06-05T23:28:51.9574638Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:51.9576137Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.9576843Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.9586600Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:51.9607128Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:51.9626709Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9643682Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9660880Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:51.9672679Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.9677097Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:28:51.9678790Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:51.9679817Z      94 |     struct array
2025-06-05T23:28:51.9680238Z         |            ^~~~~
2025-06-05T23:28:51.9681877Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:51.9683372Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.9684085Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.9692687Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:51.9711861Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:51.9730402Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9746665Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9762185Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:51.9772838Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.9776754Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:28:51.9778326Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:51.9779225Z      94 |     struct array
2025-06-05T23:28:51.9779651Z         |            ^~~~~
2025-06-05T23:28:51.9781030Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:51.9782281Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.9782885Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.9784084Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vrpreluc-f16c-u16.c.o
2025-06-05T23:28:51.9795426Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:51.9818859Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:51.9841210Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9859925Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9879805Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:51.9893808Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:51.9898984Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:28:51.9900980Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:51.9902132Z      94 |     struct array
2025-06-05T23:28:51.9902643Z         |            ^~~~~
2025-06-05T23:28:51.9924855Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:51.9926369Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:51.9927080Z         |                                                        ^~~~~~~~
2025-06-05T23:28:51.9935897Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:51.9951993Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etens[ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/rope-nthc.c.o
2025-06-05T23:28:51.9963049Z   or::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:51.9973749Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:51.9988854Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.0003184Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.0009793Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.0012137Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:28:52.0013138Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.0013699Z      94 |     struct array
2025-06-05T23:28:52.0013949Z         |            ^~~~~
2025-06-05T23:28:52.0014794Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:52.0015643Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.0016028Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.0021016Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.0035313Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.0052335Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.0062507Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.0079374Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.0091262Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.0095661Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:28:52.0097366Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.0098327Z      94 |     struct array
2025-06-05T23:28:52.0098757Z         |            ^~~~~
2025-06-05T23:28:52.0100274Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:52.0101690Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.0102361Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.0111391Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.0130832Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.0147821Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.0158161Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.0166987Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.0173320Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.0175563Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:28:52.0176471Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.0177019Z      94 |     struct array
2025-06-05T23:28:52.0499712Z         |            ^~~~~
2025-06-05T23:28:52.0500926Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:52.0501698Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.0502098Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.0507053Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.0517802Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.0527840Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.0541236Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.0557435Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.0567255Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_and; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.0569854Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:28:52.0571019Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.0571592Z      94 |     struct array
2025-06-05T23:28:52.0571829Z         |            ^~~~~
2025-06-05T23:28:52.0572671Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:52.0573582Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.0573968Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.0574725Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vrsubc-f16c-u16.c.o
2025-06-05T23:28:52.0575714Z   [ 20%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_bitwise_or.cpp.o
2025-06-05T23:28:52.0576788Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/scaled-dot-product-attention-nhtc.c.o
2025-06-05T23:28:52.0577839Z   [ 20%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/slice-nd.c.o
2025-06-05T23:28:52.0578595Z   In file included from /pytorch/executorch/kernels/optimized/cpu/op_gelu.cpp:16:
2025-06-05T23:28:52.0580588Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Gelu.h: In function ‘at::vec::CPU_CAPABILITY::Vectorized<T> at::native::vectorized_gelu_approximated_with_tanh(at::vec::CPU_CAPABILITY::Vectorized<T>) [with T = float; typename std::enable_if<(! is_reduced_floating_point_v<T>), bool>::type <anonymous> = true]’:
2025-06-05T23:28:52.0582703Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Gelu.h:41:20: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2025-06-05T23:28:52.0583741Z      41 | vec::Vectorized<T> vectorized_gelu_approximated_with_tanh(vec::Vectorized<T> x) {
2025-06-05T23:28:52.0945322Z         |                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:52.0946641Z   [ 22%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/softmax-nc.c.o
2025-06-05T23:28:52.0947755Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:52.0948375Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:52.0949123Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:52.0949751Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:52.0950353Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:52.0951454Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:11,
2025-06-05T23:28:52.0952175Z                    from /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:9:
2025-06-05T23:28:52.0957114Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::bit_or<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.0970078Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::bit_or<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.0983678Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::bit_or<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.0994447Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_or<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1005760Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_or<unsigned char>]’
2025-06-05T23:28:52.1011411Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.1014393Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:28:52.1015367Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.1016019Z      94 |     struct array
2025-06-05T23:28:52.1016303Z         |            ^~~~~
2025-06-05T23:28:52.1017329Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:52.1018177Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.1018574Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.1022815Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.1033200Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.1043108Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1053387Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_or<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1063546Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_or<unsigned char>]’
2025-06-05T23:28:52.1072207Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.1075664Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:28:52.1077098Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.1077952Z      94 |     struct array
2025-06-05T23:28:52.1078281Z         |            ^~~~~
2025-06-05T23:28:52.1079574Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:52.1080728Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.1081268Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.1086559Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::bit_or<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.1099364Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::bit_or<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.1113494Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::bit_or<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1124962Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_or<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1145203Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_or<signed char>]’
2025-06-05T23:28:52.1155534Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.1159925Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:28:52.1161699Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.1162775Z      94 |     struct array
2025-06-05T23:28:52.1163212Z         |            ^~~~~
2025-06-05T23:28:52.1164973Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:52.1166766Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.1167563Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.1174913Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.1190852Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.1204887Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1215895Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_or<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1228374Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_or<signed char>]’
2025-06-05T23:28:52.1239124Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.1243399Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:28:52.1245156Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.1246154Z      94 |     struct array
2025-06-05T23:28:52.1246710Z         |            ^~~~~
2025-06-05T23:28:52.1248253Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:52.1249677Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.1250383Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.1257061Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::bit_or<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.1271679Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::bit_or<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.1284396Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::bit_or<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1295251Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_or<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1305931Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_or<short int>]’
2025-06-05T23:28:52.1314503Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.1318267Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:28:52.1319833Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.1320801Z      94 |     struct array
2025-06-05T23:28:52.1321236Z         |            ^~~~~
2025-06-05T23:28:52.1322801Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:52.1324243Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.1324962Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.1332167Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.1347827Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.1362550Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1374597Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_or<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1386496Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_or<short int>]’
2025-06-05T23:28:52.1395966Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.1400117Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:28:52.1401933Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.1402969Z      94 |     struct array
2025-06-05T23:28:52.1403525Z         |            ^~~~~
2025-06-05T23:28:52.1405094Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:52.1406568Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.1407261Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.1413648Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::bit_or<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.1428214Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::bit_or<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.1441934Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::bit_or<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1452694Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_or<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1463830Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_or<int>]’
2025-06-05T23:28:52.1473743Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.1477743Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:28:52.1479373Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.1480494Z      94 |     struct array
2025-06-05T23:28:52.1480937Z         |            ^~~~~
2025-06-05T23:28:52.1482442Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:52.1483819Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.1484541Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.1491566Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.1505282Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.1518737Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1532200Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_or<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1544350Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_or<int>]’
2025-06-05T23:28:52.1553472Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.1557643Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:28:52.1559308Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.1560209Z      94 |     struct array
2025-06-05T23:28:52.1560523Z         |            ^~~~~
2025-06-05T23:28:52.1561674Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:52.1563081Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.1563797Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.1570305Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::bit_or<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.1583942Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::bit_or<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.1596441Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::bit_or<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1606780Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_or<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1617511Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_or<long int>]’
2025-06-05T23:28:52.1626534Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.1630827Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:28:52.1632671Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.1633656Z      94 |     struct array
2025-06-05T23:28:52.1634205Z         |            ^~~~~
2025-06-05T23:28:52.1635758Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:52.1637136Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.1637783Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.1644468Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.1657429Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.1665414Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1671730Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_or<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1678157Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_or<long int>]’
2025-06-05T23:28:52.1683250Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.1685499Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:28:52.1686410Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.1686949Z      94 |     struct array
2025-06-05T23:28:52.1687195Z         |            ^~~~~
2025-06-05T23:28:52.1688025Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:52.1689359Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.1690023Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.1696749Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::bit_or<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.1710413Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::bit_or<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.1722183Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::bit_or<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1728899Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_or<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1736902Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_or<bool>]’
2025-06-05T23:28:52.1745515Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.1749836Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:28:52.1751395Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.1752369Z      94 |     struct array
2025-06-05T23:28:52.1752810Z         |            ^~~~~
2025-06-05T23:28:52.1754299Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:52.1755721Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.1756446Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.1762167Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.1774349Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.1788461Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_or<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1799649Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_or<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1811659Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_or<bool>]’
2025-06-05T23:28:52.1820814Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.1825241Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:28:52.1826905Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.1827914Z      94 |     struct array
2025-06-05T23:28:52.1828370Z         |            ^~~~~
2025-06-05T23:28:52.1830079Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:52.1831536Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.1832171Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.1841245Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.1860806Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.1879591Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1895781Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.1913020Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.1924993Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.1929486Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:28:52.1931326Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.1932379Z      94 |     struct array
2025-06-05T23:28:52.1932744Z         |            ^~~~~
2025-06-05T23:28:52.1934531Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:52.1936057Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.1936730Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.1946077Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.1966158Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.1985842Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2002422Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2019776Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.2031793Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.2036127Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:28:52.2037953Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.2039027Z      94 |     struct array
2025-06-05T23:28:52.2039457Z         |            ^~~~~
2025-06-05T23:28:52.2041151Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:52.2042679Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.2043402Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.2044430Z   [ 22%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_linear.cpp.o
2025-06-05T23:28:52.2054060Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.2074122Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.2093439Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2109214Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2126229Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.2137535Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.2141326Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:28:52.2142943Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.2143781Z      94 |     struct array
2025-06-05T23:28:52.2144085Z         |            ^~~~~
2025-06-05T23:28:52.2145159Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:52.2145971Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.2146460Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.2151544Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.2162157Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.2172176Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2180958Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2189711Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.2195829Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.2198068Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:28:52.2199359Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.2199917Z      94 |     struct array
2025-06-05T23:28:52.2200166Z         |            ^~~~~
2025-06-05T23:28:52.2201044Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:52.2201901Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.2202295Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.2208204Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.2227577Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.2246018Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2262857Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2279425Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.2290080Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.2294004Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:28:52.2295505Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.2296461Z      94 |     struct array
2025-06-05T23:28:52.2296848Z         |            ^~~~~
2025-06-05T23:28:52.2298267Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:52.2299584Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.2300163Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.2306912Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.2321332Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.2335167Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2346775Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2357990Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.2366430Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.2369459Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:28:52.2370846Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.2371564Z      94 |     struct array
2025-06-05T23:28:52.2371895Z         |            ^~~~~
2025-06-05T23:28:52.2373137Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:52.2374186Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.2374738Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.2375727Z   [ 22%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vsqrdiff-f16c-u16.c.o
2025-06-05T23:28:52.2382498Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.2398373Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.2416519Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2432590Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2449118Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.2461099Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.2465449Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:28:52.2467158Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.2468295Z      94 |     struct array
2025-06-05T23:28:52.2468728Z         |            ^~~~~
2025-06-05T23:28:52.2470301Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:52.2471765Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.2472489Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.2481933Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.2502355Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.2521667Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2538367Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2555361Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.2566848Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.2571203Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:28:52.2572899Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.2573939Z      94 |     struct array
2025-06-05T23:28:52.2574360Z         |            ^~~~~
2025-06-05T23:28:52.2575861Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:52.2577277Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.2577965Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.2586799Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.2605505Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.2623839Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2640120Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2657070Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.2669159Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.2673495Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:28:52.2675254Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.2676234Z      94 |     struct array
2025-06-05T23:28:52.2676662Z         |            ^~~~~
2025-06-05T23:28:52.2678224Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:52.2679654Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.2680343Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.2689697Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.2710764Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.2730480Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2745113Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2753889Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.2759962Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.2762304Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:28:52.2763264Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.2763860Z      94 |     struct array
2025-06-05T23:28:52.2764097Z         |            ^~~~~
2025-06-05T23:28:52.2764961Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:52.2765754Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.2766139Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.2770795Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.2783699Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.2801902Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2818253Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2835325Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.2847151Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.2851412Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:28:52.2853112Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.2854106Z      94 |     struct array
2025-06-05T23:28:52.2854544Z         |            ^~~~~
2025-06-05T23:28:52.2856036Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:52.2857456Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.2858173Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.2867633Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.2887908Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.2907339Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2923691Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.2941168Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.2953037Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_or; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.3763113Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:28:52.3765108Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.3766121Z      94 |     struct array
2025-06-05T23:28:52.3766540Z         |            ^~~~~
2025-06-05T23:28:52.3768107Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:52.3769567Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.3770280Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.3771416Z   [ 22%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_bitwise_xor.cpp.o
2025-06-05T23:28:52.3773249Z   [ 22%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/transpose-nd.c.o
2025-06-05T23:28:52.3774938Z   [ 22%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_bmm.cpp.o
2025-06-05T23:28:52.3776702Z   [ 22%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/unary-elementwise-nc.c.o
2025-06-05T23:28:52.3778453Z   [ 22%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_cat.cpp.o
2025-06-05T23:28:52.3780397Z   [ 22%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-u16.c.o
2025-06-05T23:28:52.3782642Z   [ 22%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vsub-f16c-u16.c.o
2025-06-05T23:28:52.3784072Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:52.3784735Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:52.3785438Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:52.3786187Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:52.3787079Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:52.3788330Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:11,
2025-06-05T23:28:52.3789509Z                    from /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:9:
2025-06-05T23:28:52.3797097Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::bit_xor<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.3812681Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::bit_xor<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.3827865Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::bit_xor<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.3840236Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_xor<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.3852713Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_xor<unsigned char>]’
2025-06-05T23:28:52.3862960Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.3866935Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:28:52.3868759Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.3869828Z      94 |     struct array
2025-06-05T23:28:52.3870362Z         |            ^~~~~
2025-06-05T23:28:52.3872087Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:52.3873681Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.3874402Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.3881911Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.3898201Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.3913856Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.3926596Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_xor<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.3939779Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_xor<unsigned char>]’
2025-06-05T23:28:52.3950693Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.3955023Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:28:52.3956852Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.3957925Z      94 |     struct array
2025-06-05T23:28:52.3958340Z         |            ^~~~~
2025-06-05T23:28:52.3960035Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:52.3961595Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.3962312Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.3969334Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::bit_xor<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.3984868Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::bit_xor<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.3999469Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::bit_xor<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4011527Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_xor<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4024154Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_xor<signed char>]’
2025-06-05T23:28:52.4034882Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.4039217Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:28:52.4041018Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.4042066Z      94 |     struct array
2025-06-05T23:28:52.4042609Z         |            ^~~~~
2025-06-05T23:28:52.4044291Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:52.4045902Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.4046693Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.4054873Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.4071518Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.4086963Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4099632Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_xor<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4112305Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_xor<signed char>]’
2025-06-05T23:28:52.4122293Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.4126618Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:28:52.4128377Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.4129417Z      94 |     struct array
2025-06-05T23:28:52.4129744Z         |            ^~~~~
2025-06-05T23:28:52.4131119Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:52.4132466Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.4133212Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.4140013Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::bit_xor<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.4156127Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::bit_xor<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.4170500Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::bit_xor<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4182478Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_xor<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4194849Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_xor<short int>]’
2025-06-05T23:28:52.4204721Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.4208939Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:28:52.4210637Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.4211653Z      94 |     struct array
2025-06-05T23:28:52.4212081Z         |            ^~~~~
2025-06-05T23:28:52.4214115Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:52.4215743Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.4216494Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.4224352Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.4242121Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.4257655Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4270040Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_xor<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4281751Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_xor<short int>]’
2025-06-05T23:28:52.4292097Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.4296519Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:28:52.4298313Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.4299412Z      94 |     struct array
2025-06-05T23:28:52.4299850Z         |            ^~~~~
2025-06-05T23:28:52.4301467Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:52.4302968Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.4303679Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.4310281Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::bit_xor<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.4324788Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::bit_xor<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.4338284Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::bit_xor<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4348789Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_xor<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4359655Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_xor<int>]’
2025-06-05T23:28:52.4368214Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.4372166Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:28:52.4374238Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.4375371Z      94 |     struct array
2025-06-05T23:28:52.4375855Z         |            ^~~~~
2025-06-05T23:28:52.4377604Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:52.4379222Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.4380059Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.4388314Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.4406235Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.4423706Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4437717Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_xor<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4451708Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_xor<int>]’
2025-06-05T23:28:52.4463222Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.4468256Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:28:52.4470174Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.4471425Z      94 |     struct array
2025-06-05T23:28:52.4471917Z         |            ^~~~~
2025-06-05T23:28:52.4473760Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:52.4475408Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.4476232Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.4484263Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::bit_xor<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.4500141Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::bit_xor<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.4513821Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::bit_xor<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4525055Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_xor<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4537646Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_xor<long int>]’
2025-06-05T23:28:52.4547801Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.4552176Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:28:52.4553974Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.4555165Z      94 |     struct array
2025-06-05T23:28:52.4555570Z         |            ^~~~~
2025-06-05T23:28:52.4557174Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:52.4558685Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.4559384Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.4566578Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.4582875Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.4598345Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4610787Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_xor<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4623346Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_xor<long int>]’
2025-06-05T23:28:52.4633288Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.4637653Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:28:52.4639380Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.4640405Z      94 |     struct array
2025-06-05T23:28:52.4640852Z         |            ^~~~~
2025-06-05T23:28:52.4642368Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:52.4643889Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.4644611Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.4651323Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::bit_xor<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.4666380Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::bit_xor<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.4680519Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::bit_xor<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4692372Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_xor<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4704604Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_xor<bool>]’
2025-06-05T23:28:52.4714797Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.4719208Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:28:52.4721067Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.4722124Z      94 |     struct array
2025-06-05T23:28:52.4722535Z         |            ^~~~~
2025-06-05T23:28:52.4724072Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:52.4726239Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.4726962Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.4734582Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.4749957Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.4765416Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::bit_xor<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4777699Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::bit_xor<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4790183Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::bit_xor<bool>]’
2025-06-05T23:28:52.4800021Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:83:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_tensor_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.4804383Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:28:52.4806029Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:52.4807032Z      94 |     struct array
2025-06-05T23:28:52.4807461Z         |            ^~~~~
2025-06-05T23:28:52.4808979Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:52.4810417Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.4811148Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.4820258Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.4840350Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.4859671Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4876533Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4894083Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.4905583Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.4909400Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:28:52.4911027Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.4911937Z      94 |     struct array
2025-06-05T23:28:52.4912282Z         |            ^~~~~
2025-06-05T23:28:52.4913831Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:52.4915221Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.4915784Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.4925840Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.4950040Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.4969635Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.4986349Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5002751Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.5014377Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.5018555Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:28:52.5020456Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.5021478Z      94 |     struct array
2025-06-05T23:28:52.5021906Z         |            ^~~~~
2025-06-05T23:28:52.5023584Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:52.5025068Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.5025754Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.5033937Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.5052307Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.5063387Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5071678Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5080588Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.5087174Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.5090788Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:28:52.5092483Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.5093638Z      94 |     struct array
2025-06-05T23:28:52.5094035Z         |            ^~~~~
2025-06-05T23:28:52.5095719Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:52.5097237Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.5097936Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.5107419Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.5128295Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.5148323Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5164754Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5181781Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.5193916Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.5198237Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:28:52.5199990Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.5201047Z      94 |     struct array
2025-06-05T23:28:52.5201457Z         |            ^~~~~
2025-06-05T23:28:52.5203157Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:52.5204680Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.5205391Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.5214549Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.5233814Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.5252413Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5268669Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5285620Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.5297665Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.5302001Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:28:52.5303741Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.5304767Z      94 |     struct array
2025-06-05T23:28:52.5305190Z         |            ^~~~~
2025-06-05T23:28:52.5306787Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:52.5308283Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.5309008Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.5318819Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.5338695Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.5358336Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5374690Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5391499Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.5403459Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.5407821Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:28:52.5409554Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.5410603Z      94 |     struct array
2025-06-05T23:28:52.5411022Z         |            ^~~~~
2025-06-05T23:28:52.5412643Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:52.5414211Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.5415222Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.5416379Z   [ 22%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_log_softmax.cpp.o
2025-06-05T23:28:52.5425965Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.5445767Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.5463747Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5479850Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5497402Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.5509543Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.5514121Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:28:52.5516039Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.5517169Z      94 |     struct array
2025-06-05T23:28:52.5517748Z         |            ^~~~~
2025-06-05T23:28:52.5519434Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:52.5520973Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.5521824Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.5531652Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.5552498Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.5572696Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5589334Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5627428Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.5639630Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.5644000Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:28:52.5645717Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.5646738Z      94 |     struct array
2025-06-05T23:28:52.5647292Z         |            ^~~~~
2025-06-05T23:28:52.5648898Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:52.5650318Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.5651098Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.5660367Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.5679459Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.5698231Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5714937Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5732088Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.5743893Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.5748201Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:28:52.5749951Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.5750947Z      94 |     struct array
2025-06-05T23:28:52.5751397Z         |            ^~~~~
2025-06-05T23:28:52.5753010Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:52.5754495Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.5755217Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.5764698Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.5783660Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.5793948Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5808833Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5823380Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.5833151Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.5835410Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:28:52.5836377Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.5836953Z      94 |     struct array
2025-06-05T23:28:52.5837191Z         |            ^~~~~
2025-06-05T23:28:52.5838044Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:52.5839187Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.5839783Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.5849608Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.5868402Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.5882288Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5895795Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5906294Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.5912791Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.5915123Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:28:52.5916155Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.5916758Z      94 |     struct array
2025-06-05T23:28:52.5917082Z         |            ^~~~~
2025-06-05T23:28:52.5918405Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:52.5919837Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.5920470Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.5921629Z   [ 22%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/unpooling-nhwc.c.o
2025-06-05T23:28:52.5931764Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.5950066Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.5962867Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.5972682Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.7797735Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.7809869Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:126:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::bitwise_scalar_out(torch::executor::RuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with BitOp = std::bit_xor; const char* op_name = (& op_name); torch::executor::RuntimeContext = executorch::runtime::KernelRuntimeContext]’
2025-06-05T23:28:52.7814076Z   /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:28:52.7815787Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.7816718Z      94 |     struct array
2025-06-05T23:28:52.7817113Z         |            ^~~~~
2025-06-05T23:28:52.7818563Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:52.7819899Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.7820546Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.7821644Z   [ 22%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_cdist_forward.cpp.o
2025-06-05T23:28:52.7823055Z   [ 23%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_mm.cpp.o
2025-06-05T23:28:52.7823922Z   [ 23%] Built target operators
2025-06-05T23:28:52.7825033Z   [ 23%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vbinary/gen/f16-vsubc-f16c-u16.c.o
2025-06-05T23:28:52.7826973Z   [ 23%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/memory-planner.c.o
2025-06-05T23:28:52.7828725Z   [ 23%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/runtime.c.o
2025-06-05T23:28:52.7830223Z   [ 23%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_ceil.cpp.o
2025-06-05T23:28:52.7831533Z   [ 23%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_clamp.cpp.o
2025-06-05T23:28:52.7832350Z   [ 23%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph.c.o
2025-06-05T23:28:52.7833192Z   In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional.h:3,
2025-06-05T23:28:52.7833944Z                    from /pytorch/executorch/kernels/optimized/cpu/op_log_softmax.cpp:17:
2025-06-05T23:28:52.7835871Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_base.h: In function ‘scalar_t at::vec::vec_reduce_all(const Op&, at::vec::CPU_CAPABILITY::Vectorized<T>, int64_t) [with scalar_t = float; Op = std::plus<at::vec::CPU_CAPABILITY::Vectorized<float> >]’:
2025-06-05T23:28:52.7838203Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_base.h:29:17: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2025-06-05T23:28:52.7839193Z      29 | inline scalar_t vec_reduce_all(
2025-06-05T23:28:52.7839501Z         |                 ^~~~~~~~~~~~~~
2025-06-05T23:28:52.7840232Z   [ 23%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/argmax-pooling-2d.c.o
2025-06-05T23:28:52.7841092Z   [ 23%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_mul.cpp.o
2025-06-05T23:28:52.7841834Z   In file included from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:44,
2025-06-05T23:28:52.7842542Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:28:52.7843105Z                    from /pytorch/executorch/kernels/optimized/cpu/op_le.cpp:11:
2025-06-05T23:28:52.7843664Z   /pytorch/executorch/kernels/optimized/cpu/op_le.cpp: In lambda function:
2025-06-05T23:28:52.7844536Z   /pytorch/executorch/kernels/optimized/cpu/op_le.cpp:66:15: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2025-06-05T23:28:52.7845320Z      66 |               [scalar_casted](Vec x) { return Vec(scalar_casted).le(x); },
2025-06-05T23:28:52.7845707Z         |               ^
2025-06-05T23:28:52.7846515Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:914:7: note: in definition of macro ‘ET_INTERNAL_SWITCH’
2025-06-05T23:28:52.7847255Z     914 |       __VA_ARGS__                                    \
2025-06-05T23:28:52.7847590Z         |       ^~~~~~~~~~~
2025-06-05T23:28:52.7848375Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:925:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2025-06-05T23:28:52.7849180Z     925 |   ET_INTERNAL_SWITCH_CASE(                                             \
2025-06-05T23:28:52.7849566Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:52.7850426Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:951:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_INT_TYPES’
2025-06-05T23:28:52.7851267Z     951 |   ET_INTERNAL_SWITCH_CASE_INT_TYPES(CTYPE_ALIAS, __VA_ARGS__) \
2025-06-05T23:28:52.7851654Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:52.7852542Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1002:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2025-06-05T23:28:52.7853518Z    1002 |   ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
2025-06-05T23:28:52.7854085Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:52.7855513Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1130:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND’
2025-06-05T23:28:52.7857014Z    1130 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND(          \
2025-06-05T23:28:52.7857752Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:52.7859430Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1166:3: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES_AND’
2025-06-05T23:28:52.7861224Z    1166 |   ET_SWITCH_REAL_TYPES_AND(Bool, TYPE, CONTEXT, NAME, CTYPE_ALIAS, __VA_ARGS__)
2025-06-05T23:28:52.7862001Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:52.7863263Z   /pytorch/executorch/kernels/optimized/cpu/op_le.cpp:58:5: note: in expansion of macro ‘ET_SWITCH_REALB_TYPES’
2025-06-05T23:28:52.7864520Z      58 |     ET_SWITCH_REALB_TYPES(tensor_type, ctx, name, CTYPE, [&]() {
2025-06-05T23:28:52.7865106Z         |     ^~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:52.7866515Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1126:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH’
2025-06-05T23:28:52.7867785Z    1126 |   ET_INTERNAL_SWITCH(                                  \
2025-06-05T23:28:52.7868389Z         |   ^~~~~~~~~~~~~~~~~~
2025-06-05T23:28:52.7869829Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:925:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2025-06-05T23:28:52.7871237Z     925 |   ET_INTERNAL_SWITCH_CASE(                                             \
2025-06-05T23:28:52.7871909Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:52.7873475Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:951:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_INT_TYPES’
2025-06-05T23:28:52.7875056Z     951 |   ET_INTERNAL_SWITCH_CASE_INT_TYPES(CTYPE_ALIAS, __VA_ARGS__) \
2025-06-05T23:28:52.7875731Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:52.7877261Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1002:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2025-06-05T23:28:52.7878911Z    1002 |   ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
2025-06-05T23:28:52.7879766Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:52.7881153Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1130:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND’
2025-06-05T23:28:52.7881989Z    1130 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND(          \
2025-06-05T23:28:52.7882548Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:52.7883918Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1166:3: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES_AND’
2025-06-05T23:28:52.7885337Z    1166 |   ET_SWITCH_REAL_TYPES_AND(Bool, TYPE, CONTEXT, NAME, CTYPE_ALIAS, __VA_ARGS__)
2025-06-05T23:28:52.7886089Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:52.9025749Z   /pytorch/executorch/kernels/optimized/cpu/op_le.cpp:59:7: note: in expansion of macro ‘ET_SWITCH_REALB_TYPES’
2025-06-05T23:28:52.9027114Z      59 |       ET_SWITCH_REALB_TYPES(scalar_type, ctx, name, CTYPE_SCALAR, [&]() {
2025-06-05T23:28:52.9027834Z         |       ^~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:52.9029046Z   [ 23%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_native_layer_norm.cpp.o
2025-06-05T23:28:52.9030863Z   [ 23%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vclamp/gen/f16-vclamp-f16c-u16.c.o
2025-06-05T23:28:52.9033168Z   [ 23%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-velu/gen/f16-velu-avx2-rr1-p3-u16.c.o
2025-06-05T23:28:52.9035593Z   [ 23%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vhswish/gen/f16-vhswish-f16c-u16.c.o
2025-06-05T23:28:52.9037707Z   [ 23%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/average-pooling-2d.c.o
2025-06-05T23:28:52.9039057Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:52.9039726Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:52.9040438Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:52.9041144Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:52.9041924Z                    from /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:9:
2025-06-05T23:28:52.9050597Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.9068723Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.9085768Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9100507Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9116060Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.9123504Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:52.9125301Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.9126345Z      94 |     struct array
2025-06-05T23:28:52.9126781Z         |            ^~~~~
2025-06-05T23:28:52.9128475Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:52.9130195Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.9130921Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.9139653Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.9158540Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.9176899Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9191883Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9207250Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.9214554Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:52.9216397Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.9217447Z      94 |     struct array
2025-06-05T23:28:52.9217885Z         |            ^~~~~
2025-06-05T23:28:52.9219557Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:52.9221229Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.9221973Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.9232347Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.9250241Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.9267243Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9281826Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9297369Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.9304810Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:52.9306586Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.9307623Z      94 |     struct array
2025-06-05T23:28:52.9308045Z         |            ^~~~~
2025-06-05T23:28:52.9309733Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:52.9311241Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.9311942Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.9320654Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.9339321Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.9357434Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9372569Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9387952Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.9394991Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:52.9396775Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.9397816Z      94 |     struct array
2025-06-05T23:28:52.9398246Z         |            ^~~~~
2025-06-05T23:28:52.9399896Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:52.9401441Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.9402145Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.9410410Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.9428373Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.9445318Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9460033Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9475318Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.9482700Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:52.9484470Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.9485469Z      94 |     struct array
2025-06-05T23:28:52.9486033Z         |            ^~~~~
2025-06-05T23:28:52.9487652Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:52.9489154Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.9489876Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.9498783Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.9517519Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.9537531Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9552937Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9567922Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.9575246Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:52.9577036Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.9578062Z      94 |     struct array
2025-06-05T23:28:52.9578485Z         |            ^~~~~
2025-06-05T23:28:52.9580099Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:52.9581622Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.9582346Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.9590457Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.9608112Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.9624868Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9639625Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9654606Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.9662087Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:52.9663946Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.9664956Z      94 |     struct array
2025-06-05T23:28:52.9665355Z         |            ^~~~~
2025-06-05T23:28:52.9666908Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:52.9668335Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.9669062Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.9677848Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.9696375Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.9714122Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9729425Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9744661Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.9751885Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:52.9753636Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.9754593Z      94 |     struct array
2025-06-05T23:28:52.9755016Z         |            ^~~~~
2025-06-05T23:28:52.9756542Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:52.9757948Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.9758652Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.9766932Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.9784881Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.9801811Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9816450Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9832370Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.9839784Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:52.9841533Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.9842542Z      94 |     struct array
2025-06-05T23:28:52.9842960Z         |            ^~~~~
2025-06-05T23:28:52.9844714Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:52.9846199Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.9847029Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.9855654Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:52.9874610Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:52.9892531Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9907680Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9922719Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:52.9930401Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:52.9932164Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:52.9933268Z      94 |     struct array
2025-06-05T23:28:52.9933708Z         |            ^~~~~
2025-06-05T23:28:52.9935249Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:52.9936785Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:52.9937519Z         |                                                        ^~~~~~~~
2025-06-05T23:28:52.9945590Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:52.9963388Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:52.9980350Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:52.9994835Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0009809Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.0017259Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:53.0019020Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:53.0020056Z      94 |     struct array
2025-06-05T23:28:53.0020439Z         |            ^~~~~
2025-06-05T23:28:53.0022021Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:53.0023458Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.0024163Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.0033196Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.0051699Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.0069524Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0084407Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0099748Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.0107061Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:53.0108822Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:53.0109821Z      94 |     struct array
2025-06-05T23:28:53.0110249Z         |            ^~~~~
2025-06-05T23:28:53.0111834Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:53.0113313Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.0114048Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.0122210Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:53.0139951Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:53.0157055Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0171692Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0186793Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.0194037Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:53.0195776Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:53.0196805Z      94 |     struct array
2025-06-05T23:28:53.0197215Z         |            ^~~~~
2025-06-05T23:28:53.0198797Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:53.0200202Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.0200949Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.0209953Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.0229251Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.0246973Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0262168Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0277935Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.0285398Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:53.0287132Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:53.0288219Z      94 |     struct array
2025-06-05T23:28:53.0288660Z         |            ^~~~~
2025-06-05T23:28:53.0290231Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:53.0291895Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.0292570Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.0300902Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:53.0318601Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:53.0335761Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0350389Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0365520Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.0372888Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:53.0374670Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:53.0375643Z      94 |     struct array
2025-06-05T23:28:53.0376089Z         |            ^~~~~
2025-06-05T23:28:53.0377609Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:53.0379024Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.0379730Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.0388390Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.0407391Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.0425341Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0439294Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0452359Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::clamp_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Scalar>&, const std::optional<executorch::runtime::etensor::Scalar>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.0460485Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:28:53.0462568Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:53.0463581Z      94 |     struct array
2025-06-05T23:28:53.0463996Z         |            ^~~~~
2025-06-05T23:28:53.0465528Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:53.0466628Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.0467035Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.0474527Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:53.0495408Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:53.0512466Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0529689Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0547948Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.0556249Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.0557783Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.0558494Z      94 |     struct array
2025-06-05T23:28:53.0558731Z         |            ^~~~~
2025-06-05T23:28:53.0559649Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 3>::_M_elems [3]’
2025-06-05T23:28:53.0560489Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.0561034Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.0566831Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.0580768Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.0596730Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0613196Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0628818Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.0636295Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.0637679Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.0638609Z      94 |     struct array
2025-06-05T23:28:53.0638962Z         |            ^~~~~
2025-06-05T23:28:53.0640291Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 3>::_M_elems [3]’
2025-06-05T23:28:53.0641524Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.0642115Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.0650922Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:53.0669511Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:53.0680431Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0694956Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0705166Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.0710034Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.0710948Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.0711521Z      94 |     struct array
2025-06-05T23:28:53.0711758Z         |            ^~~~~
2025-06-05T23:28:53.0712642Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 3>::_M_elems [3]’
2025-06-05T23:28:53.0713463Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.0713859Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.0719534Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.0731746Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.0747903Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0765638Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0780470Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.0785645Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.0786619Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.0787190Z      94 |     struct array
2025-06-05T23:28:53.0787425Z         |            ^~~~~
2025-06-05T23:28:53.0788306Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 3>::_M_elems [3]’
2025-06-05T23:28:53.0789166Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.0789568Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.0794960Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:53.0813867Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:53.0834261Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0853643Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0872858Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.0882246Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.0883991Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.0885034Z      94 |     struct array
2025-06-05T23:28:53.0885467Z         |            ^~~~~
2025-06-05T23:28:53.0887088Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 3>::_M_elems [3]’
2025-06-05T23:28:53.0888593Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.0889313Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.0900616Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.0923739Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.0946182Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0966081Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.0985796Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.0995288Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.0997005Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.0998032Z      94 |     struct array
2025-06-05T23:28:53.0998455Z         |            ^~~~~
2025-06-05T23:28:53.1000078Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 3>::_M_elems [3]’
2025-06-05T23:28:53.1001592Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.1002334Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.1012902Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:53.1034960Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:53.1056031Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1069182Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1082029Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.1086863Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.1087757Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.1088324Z      94 |     struct array
2025-06-05T23:28:53.1088571Z         |            ^~~~~
2025-06-05T23:28:53.1089359Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 3>::_M_elems [3]’
2025-06-05T23:28:53.1090108Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.1090489Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.1096229Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.1108071Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.1123962Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1139137Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1149078Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.1154936Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.1156441Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.1157259Z      94 |     struct array
2025-06-05T23:28:53.1157502Z         |            ^~~~~
2025-06-05T23:28:53.1159052Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 3>::_M_elems [3]’
2025-06-05T23:28:53.1160333Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.1161019Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.1169347Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:53.1182037Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:53.1201923Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1216782Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1226910Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.1231980Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.1232905Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.1233450Z      94 |     struct array
2025-06-05T23:28:53.1233709Z         |            ^~~~~
2025-06-05T23:28:53.1234546Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 3>::_M_elems [3]’
2025-06-05T23:28:53.1235344Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.1235744Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.1241462Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.1253552Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.1264897Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1275345Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1289935Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.1295504Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.1296447Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.1297006Z      94 |     struct array
2025-06-05T23:28:53.1297238Z         |            ^~~~~
2025-06-05T23:28:53.1298091Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 3>::_M_elems [3]’
2025-06-05T23:28:53.1298882Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.1299265Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.1304633Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:53.1323427Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:53.1343181Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1362017Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1381539Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.1391092Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.1392800Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.1393815Z      94 |     struct array
2025-06-05T23:28:53.1394251Z         |            ^~~~~
2025-06-05T23:28:53.1395782Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 3>::_M_elems [3]’
2025-06-05T23:28:53.1397313Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.1398027Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.1408956Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.1432616Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.1455095Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1474000Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1493689Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.1503244Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.1505005Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.1506065Z      94 |     struct array
2025-06-05T23:28:53.1506478Z         |            ^~~~~
2025-06-05T23:28:53.1508024Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 3>::_M_elems [3]’
2025-06-05T23:28:53.1509463Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.1510165Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.1520745Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:53.1543383Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:53.1564614Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1584020Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1603518Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.1612843Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.1614656Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.1615660Z      94 |     struct array
2025-06-05T23:28:53.1616080Z         |            ^~~~~
2025-06-05T23:28:53.1617618Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 3>::_M_elems [3]’
2025-06-05T23:28:53.1619094Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.1619803Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.1630359Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.1653833Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.1675993Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1695798Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1715390Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.1724918Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.1726610Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.1727645Z      94 |     struct array
2025-06-05T23:28:53.1728067Z         |            ^~~~~
2025-06-05T23:28:53.1729803Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 3>::_M_elems [3]’
2025-06-05T23:28:53.1731275Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.1731978Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.1742450Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:53.1764870Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:53.1785958Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1805026Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.1824669Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.1834277Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.1835984Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.1836982Z      94 |     struct array
2025-06-05T23:28:53.1837412Z         |            ^~~~~
2025-06-05T23:28:53.1839028Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 3>::_M_elems [3]’
2025-06-05T23:28:53.1840469Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.1841188Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.1852074Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.3102406Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.3121274Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.3133456Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.3144456Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::clamp_tensor_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.3149428Z   /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:28:53.3150323Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.3150868Z      94 |     struct array
2025-06-05T23:28:53.3151103Z         |            ^~~~~
2025-06-05T23:28:53.3152015Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 3>::_M_elems [3]’
2025-06-05T23:28:53.3152804Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.3153201Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.3153814Z   [ 24%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_clone.cpp.o
2025-06-05T23:28:53.3154592Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In lambda function:
2025-06-05T23:28:53.3155581Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:97:11: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2025-06-05T23:28:53.3156388Z      97 |           [scale, offset](Vec x, Vec gamma, Vec beta) {
2025-06-05T23:28:53.3156722Z         |           ^
2025-06-05T23:28:53.3157203Z   [ 24%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_neg.cpp.o
2025-06-05T23:28:53.3158089Z   [ 24%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/batch-matrix-multiply.c.o
2025-06-05T23:28:53.3159169Z   [ 24%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vlrelu/gen/f16-vlrelu-f16c-u16.c.o
2025-06-05T23:28:53.3160488Z   [ 25%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vmulcaddc/gen/f16-vmulcaddc-c8-minmax-fma3-2x.c.o
2025-06-05T23:28:53.3161564Z   [ 25%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/binary.c.o
2025-06-05T23:28:53.3162545Z   [ 25%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vrnd/gen/f16-vrndd-f16c-u16.c.o
2025-06-05T23:28:53.3163538Z   [ 25%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_constant_pad_nd.cpp.o
2025-06-05T23:28:53.3164353Z   In file included from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:21,
2025-06-05T23:28:53.3164959Z                    from /pytorch/executorch/kernels/optimized/cpu/op_neg.cpp:11:
2025-06-05T23:28:53.3165530Z   /pytorch/executorch/kernels/optimized/cpu/op_neg.cpp: In lambda function:
2025-06-05T23:28:53.3166400Z   /pytorch/executorch/kernels/optimized/cpu/op_neg.cpp:32:9: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2025-06-05T23:28:53.3167137Z      32 |         [](Vec x) { return x.neg(); },
2025-06-05T23:28:53.3167423Z         |         ^
2025-06-05T23:28:53.3168347Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:914:7: note: in definition of macro ‘ET_INTERNAL_SWITCH’
2025-06-05T23:28:53.3169072Z     914 |       __VA_ARGS__                                    \
2025-06-05T23:28:53.3169403Z         |       ^~~~~~~~~~~
2025-06-05T23:28:53.3170180Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:925:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2025-06-05T23:28:53.3170994Z     925 |   ET_INTERNAL_SWITCH_CASE(                                             \
2025-06-05T23:28:53.3171394Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.3172245Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:951:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_INT_TYPES’
2025-06-05T23:28:53.3173161Z     951 |   ET_INTERNAL_SWITCH_CASE_INT_TYPES(CTYPE_ALIAS, __VA_ARGS__) \
2025-06-05T23:28:53.7892454Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7894549Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1008:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2025-06-05T23:28:53.7896205Z    1008 |   ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
2025-06-05T23:28:53.7896991Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7898948Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1139:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND2’
2025-06-05T23:28:53.7900699Z    1139 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND2(                       \
2025-06-05T23:28:53.7901539Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7903152Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1162:3: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES_AND2’
2025-06-05T23:28:53.7904671Z    1162 |   ET_SWITCH_REAL_TYPES_AND2(                                             \
2025-06-05T23:28:53.7905403Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7906652Z   /pytorch/executorch/kernels/optimized/cpu/op_neg.cpp:29:3: note: in expansion of macro ‘ET_SWITCH_REALHBF16_TYPES’
2025-06-05T23:28:53.7908062Z      29 |   ET_SWITCH_REALHBF16_TYPES(in.scalar_type(), ctx, "neg.out", CTYPE, [&] {
2025-06-05T23:28:53.7908976Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7909933Z   [ 25%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_sigmoid.cpp.o
2025-06-05T23:28:53.7911732Z   [ 25%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vrnd/gen/f16-vrndne-f16c-u16.c.o
2025-06-05T23:28:53.7913810Z   [ 25%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vrnd/gen/f16-vrndu-f16c-u16.c.o
2025-06-05T23:28:53.7915711Z   [ 25%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/concatenate.c.o
2025-06-05T23:28:53.7917263Z   In file included from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:44,
2025-06-05T23:28:53.7918555Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:28:53.7919751Z                    from /pytorch/executorch/../executorch/kernels/optimized/cpu/binary_ops.h:12,
2025-06-05T23:28:53.7920770Z                    from /pytorch/executorch/kernels/optimized/cpu/op_mul.cpp:9:
2025-06-05T23:28:53.7921827Z   /pytorch/executorch/kernels/optimized/cpu/op_mul.cpp: In lambda function:
2025-06-05T23:28:53.7923421Z   /pytorch/executorch/kernels/optimized/cpu/op_mul.cpp:100:15: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2025-06-05T23:28:53.7924906Z     100 |               [b_casted](Vec x) { return x * Vec(b_casted); },
2025-06-05T23:28:53.7925527Z         |               ^
2025-06-05T23:28:53.7927045Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:914:7: note: in definition of macro ‘ET_INTERNAL_SWITCH’
2025-06-05T23:28:53.7928419Z     914 |       __VA_ARGS__                                    \
2025-06-05T23:28:53.7929153Z         |       ^~~~~~~~~~~
2025-06-05T23:28:53.7930653Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:925:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2025-06-05T23:28:53.7932202Z     925 |   ET_INTERNAL_SWITCH_CASE(                                             \
2025-06-05T23:28:53.7932878Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7934449Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:951:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_INT_TYPES’
2025-06-05T23:28:53.7936075Z     951 |   ET_INTERNAL_SWITCH_CASE_INT_TYPES(CTYPE_ALIAS, __VA_ARGS__) \
2025-06-05T23:28:53.7936801Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7938512Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1002:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2025-06-05T23:28:53.7940226Z    1002 |   ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
2025-06-05T23:28:53.7941065Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7942779Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1130:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND’
2025-06-05T23:28:53.7944567Z    1130 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND(          \
2025-06-05T23:28:53.7945227Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7946911Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1166:3: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES_AND’
2025-06-05T23:28:53.7948559Z    1166 |   ET_SWITCH_REAL_TYPES_AND(Bool, TYPE, CONTEXT, NAME, CTYPE_ALIAS, __VA_ARGS__)
2025-06-05T23:28:53.7949372Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7950646Z   /pytorch/executorch/kernels/optimized/cpu/op_mul.cpp:93:7: note: in expansion of macro ‘ET_SWITCH_REALB_TYPES’
2025-06-05T23:28:53.7951917Z      93 |       ET_SWITCH_REALB_TYPES(a_type, ctx, "mul.out", CTYPE, [&]() {
2025-06-05T23:28:53.7952570Z         |       ^~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7954182Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1126:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH’
2025-06-05T23:28:53.7955612Z    1126 |   ET_INTERNAL_SWITCH(                                  \
2025-06-05T23:28:53.7956242Z         |   ^~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7957735Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:925:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2025-06-05T23:28:53.7959280Z     925 |   ET_INTERNAL_SWITCH_CASE(                                             \
2025-06-05T23:28:53.7959987Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7961579Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:951:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_INT_TYPES’
2025-06-05T23:28:53.7963003Z     951 |   ET_INTERNAL_SWITCH_CASE_INT_TYPES(CTYPE_ALIAS, __VA_ARGS__) \
2025-06-05T23:28:53.7963394Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7964311Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1002:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2025-06-05T23:28:53.7965588Z    1002 |   ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
2025-06-05T23:28:53.7966365Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7968089Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1130:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND’
2025-06-05T23:28:53.7969710Z    1130 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND(          \
2025-06-05T23:28:53.7970364Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7971948Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1166:3: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES_AND’
2025-06-05T23:28:53.7973671Z    1166 |   ET_SWITCH_REAL_TYPES_AND(Bool, TYPE, CONTEXT, NAME, CTYPE_ALIAS, __VA_ARGS__)
2025-06-05T23:28:53.7974467Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7975660Z   /pytorch/executorch/kernels/optimized/cpu/op_mul.cpp:94:9: note: in expansion of macro ‘ET_SWITCH_REALB_TYPES’
2025-06-05T23:28:53.7976867Z      94 |         ET_SWITCH_REALB_TYPES(b_type, ctx, "mul.out", CTYPE_B, [&]() {
2025-06-05T23:28:53.7977554Z         |         ^~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:53.7978825Z   [ 25%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vrnd/gen/f16-vrndz-f16c-u16.c.o
2025-06-05T23:28:53.7980599Z   [ 25%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_convolution.cpp.o
2025-06-05T23:28:53.7982428Z   [ 25%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vrsqrt/gen/f16-vrsqrt-f16c-rsqrt-u32.c.o
2025-06-05T23:28:53.7984371Z   [ 25%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_convolution_backward.cpp.o
2025-06-05T23:28:53.7985907Z   /pytorch/executorch/kernels/optimized/cpu/op_sigmoid.cpp: In lambda function:
2025-06-05T23:28:53.7987642Z   /pytorch/executorch/kernels/optimized/cpu/op_sigmoid.cpp:38:7: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2025-06-05T23:28:53.7988963Z      38 |       [](Vec x) {
2025-06-05T23:28:53.7989427Z         |       ^
2025-06-05T23:28:53.7990179Z   [ 25%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_sub.cpp.o
2025-06-05T23:28:53.7991454Z   [ 25%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_where.cpp.o
2025-06-05T23:28:53.8004863Z   [ 25%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/convolution-2d.c.o
2025-06-05T23:28:53.8006475Z   [ 25%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u32.c.o
2025-06-05T23:28:53.8007941Z   [ 25%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-rsqrt-u32.c.o
2025-06-05T23:28:53.8009352Z   [ 25%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u72.c.o
2025-06-05T23:28:53.8010625Z   [ 25%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_copy.cpp.o
2025-06-05T23:28:53.8011316Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:53.8011728Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:53.8012193Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:53.8012666Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:53.8013332Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:53.8014077Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:28:53.8014790Z                    from /pytorch/executorch/kernels/optimized/cpu/op_where.cpp:8:
2025-06-05T23:28:53.8023707Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.8044915Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.8060695Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.8078856Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.8096801Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:397:76:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.8105117Z   /pytorch/executorch/kernels/optimized/cpu/op_where.cpp:73:5:   required from here
2025-06-05T23:28:53.8106763Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.8107790Z      94 |     struct array
2025-06-05T23:28:53.8108217Z         |            ^~~~~
2025-06-05T23:28:53.8109867Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 3>::_M_elems [3]’
2025-06-05T23:28:53.8111416Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.8112241Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.8122791Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.8145058Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.8167107Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.8185395Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.8199484Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:397:76:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.8204045Z   /pytorch/executorch/kernels/optimized/cpu/op_where.cpp:73:5:   required from here
2025-06-05T23:28:53.8204963Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.8205535Z      94 |     struct array
2025-06-05T23:28:53.8205771Z         |            ^~~~~
2025-06-05T23:28:53.8206653Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 3>::_M_elems [3]’
2025-06-05T23:28:53.8207475Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.8207864Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.8213882Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.8234595Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.8256703Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.8275040Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.8292771Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:397:76:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.8301507Z   /pytorch/executorch/kernels/optimized/cpu/op_where.cpp:73:5:   required from here
2025-06-05T23:28:53.8303281Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.8304288Z      94 |     struct array
2025-06-05T23:28:53.8304741Z         |            ^~~~~
2025-06-05T23:28:53.8306255Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 3>::_M_elems [3]’
2025-06-05T23:28:53.8307707Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.8308422Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.8319157Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.8341997Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.8364341Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.8382366Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.8399993Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:397:76:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.8408587Z   /pytorch/executorch/kernels/optimized/cpu/op_where.cpp:73:5:   required from here
2025-06-05T23:28:53.8410204Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.8411163Z      94 |     struct array
2025-06-05T23:28:53.8411559Z         |            ^~~~~
2025-06-05T23:28:53.8413116Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 3>::_M_elems [3]’
2025-06-05T23:28:53.8414485Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.8415169Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.8425701Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.8448722Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.8471065Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.8489706Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.8507605Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:397:76:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.8516417Z   /pytorch/executorch/kernels/optimized/cpu/op_where.cpp:73:5:   required from here
2025-06-05T23:28:53.8518177Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.8519298Z      94 |     struct array
2025-06-05T23:28:53.8519761Z         |            ^~~~~
2025-06-05T23:28:53.8521385Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 3>::_M_elems [3]’
2025-06-05T23:28:53.8522898Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.8523551Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.8535969Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.8559107Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.8581166Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.8599143Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.8616854Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:397:76:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.8625717Z   /pytorch/executorch/kernels/optimized/cpu/op_where.cpp:73:5:   required from here
2025-06-05T23:28:53.8627406Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.8628440Z      94 |     struct array
2025-06-05T23:28:53.8628938Z         |            ^~~~~
2025-06-05T23:28:53.8630224Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 3>::_M_elems [3]’
2025-06-05T23:28:53.8631460Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.8632175Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.8643094Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.8666443Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.8688411Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.8707025Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.8725113Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:397:76:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.8734135Z   /pytorch/executorch/kernels/optimized/cpu/op_where.cpp:73:5:   required from here
2025-06-05T23:28:53.8735871Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.8736843Z      94 |     struct array
2025-06-05T23:28:53.8737272Z         |            ^~~~~
2025-06-05T23:28:53.8738834Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 3>::_M_elems [3]’
2025-06-05T23:28:53.8740303Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.8741017Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.8751735Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.9321054Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.9342661Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9360793Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9379352Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:397:76:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); Op = torch::executor::native::opt_where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:53.9388127Z   /pytorch/executorch/kernels/optimized/cpu/op_where.cpp:73:5:   required from here
2025-06-05T23:28:53.9389855Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 3>’ has no user-provided default constructor
2025-06-05T23:28:53.9390829Z      94 |     struct array
2025-06-05T23:28:53.9391262Z         |            ^~~~~
2025-06-05T23:28:53.9392745Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 3>::_M_elems [3]’
2025-06-05T23:28:53.9394261Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.9394990Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.9396183Z   [ 25%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/copy.c.o
2025-06-05T23:28:53.9397804Z   [ 25%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_cos.cpp.o
2025-06-05T23:28:53.9399284Z   [ 25%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_cosh.cpp.o
2025-06-05T23:28:53.9400401Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:53.9401040Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:53.9401737Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:53.9402421Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:53.9403386Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:53.9404661Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:28:53.9405742Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:53.9414009Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:53.9433459Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:53.9449842Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9462266Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9471964Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:53.9477315Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:53.9479004Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:53.9479979Z      94 |     struct array
2025-06-05T23:28:53.9480390Z         |            ^~~~~
2025-06-05T23:28:53.9481947Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:53.9483340Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.9483983Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.9485106Z   [ 25%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_cumsum.cpp.o
2025-06-05T23:28:53.9494065Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.9511912Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.9528881Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9543039Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9557393Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:53.9564318Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:53.9566060Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:53.9567027Z      94 |     struct array
2025-06-05T23:28:53.9567418Z         |            ^~~~~
2025-06-05T23:28:53.9569062Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:53.9570564Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.9571287Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.9579581Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:53.9596893Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:53.9613132Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9627550Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9643075Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:53.9650101Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:53.9651951Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:53.9653026Z      94 |     struct array
2025-06-05T23:28:53.9653439Z         |            ^~~~~
2025-06-05T23:28:53.9655108Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:53.9656552Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.9657234Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.9665914Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.9684311Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.9701899Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9716684Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9731933Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:53.9738910Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:53.9740612Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:53.9741646Z      94 |     struct array
2025-06-05T23:28:53.9742059Z         |            ^~~~~
2025-06-05T23:28:53.9743646Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:53.9745134Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.9745803Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.9753485Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:53.9770508Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:53.9787421Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9801249Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9816227Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:53.9823223Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:53.9824966Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:53.9826036Z      94 |     struct array
2025-06-05T23:28:53.9826477Z         |            ^~~~~
2025-06-05T23:28:53.9828093Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:53.9829820Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.9830474Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.9839019Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:53.9857151Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:53.9874911Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9888913Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9903837Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:53.9911041Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:53.9912781Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:53.9913777Z      94 |     struct array
2025-06-05T23:28:53.9914204Z         |            ^~~~~
2025-06-05T23:28:53.9915755Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:53.9917240Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:53.9917966Z         |                                                        ^~~~~~~~
2025-06-05T23:28:53.9925950Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:53.9943296Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:53.9960216Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9974888Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:53.9989881Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:53.9997088Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:53.9998712Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:53.9999718Z      94 |     struct array
2025-06-05T23:28:54.0000130Z         |            ^~~~~
2025-06-05T23:28:54.0001631Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:54.0003049Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.0003732Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.0012501Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.0031528Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.0049427Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0059547Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0067516Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.0071409Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:54.0072329Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.0072914Z      94 |     struct array
2025-06-05T23:28:54.0073174Z         |            ^~~~~
2025-06-05T23:28:54.0073983Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:54.0074744Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.0075239Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.0079612Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.0088930Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.0098002Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0105688Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0113576Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.0117309Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:54.0118204Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.0118806Z      94 |     struct array
2025-06-05T23:28:54.0119059Z         |            ^~~~~
2025-06-05T23:28:54.0119927Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:54.0120712Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.0121116Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.0125726Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.0136483Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.0146049Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0155571Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0164869Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.0170919Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:54.0171892Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.0172454Z      94 |     struct array
2025-06-05T23:28:54.0172696Z         |            ^~~~~
2025-06-05T23:28:54.0174084Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:54.0175323Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.0175976Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.0183806Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.0200582Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.0214910Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0223406Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0238154Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.0245366Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:54.0247064Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.0248012Z      94 |     struct array
2025-06-05T23:28:54.0248464Z         |            ^~~~~
2025-06-05T23:28:54.0249943Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:54.0251286Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.0251955Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.0260107Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.0278381Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.0295557Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0301031Z   [ 25%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vtanh/gen/f16-vtanh-fma3-polynomial-p19h9t2-u32.c.o
2025-06-05T23:28:54.0311287Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0322318Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.0326150Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:54.0327192Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.0327747Z      94 |     struct array
2025-06-05T23:28:54.0328029Z         |            ^~~~~
2025-06-05T23:28:54.0329253Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:54.0330522Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.0331183Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.0339561Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.0357411Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.0366241Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0377494Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0391686Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.0398226Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:54.0399870Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.0400793Z      94 |     struct array
2025-06-05T23:28:54.0401217Z         |            ^~~~~
2025-06-05T23:28:54.0402260Z   [ 25%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/deconvolution-2d.c.o
2025-06-05T23:28:54.0404702Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:54.0406133Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.0406580Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.0411143Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.0420974Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.0437803Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0452609Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0466874Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.0473653Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:54.0475280Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.0476245Z      94 |     struct array
2025-06-05T23:28:54.0476630Z         |            ^~~~~
2025-06-05T23:28:54.0478106Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:54.0479561Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.0480261Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.0488437Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.0506272Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.0523388Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0538394Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0553575Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.0560977Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:54.0562684Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.0563799Z      94 |     struct array
2025-06-05T23:28:54.0564233Z         |            ^~~~~
2025-06-05T23:28:54.0565094Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:54.0566440Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:54.0567694Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:54.0568945Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:28:54.0570389Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:28:54.0571800Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:28:54.0573061Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:54.0575610Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:54.0577381Z     384 |   unsigned short x;
2025-06-05T23:28:54.0577844Z         |                  ^
2025-06-05T23:28:54.0578387Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:54.0579043Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:54.0579754Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:54.0580489Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:54.0581453Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:54.0582817Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:28:54.0583959Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:54.0593082Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.0611638Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.0629932Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0645022Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0660274Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.0667490Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:54.0669221Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.0670234Z      94 |     struct array
2025-06-05T23:28:54.0670662Z         |            ^~~~~
2025-06-05T23:28:54.0671615Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:54.0672947Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:54.0674206Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:54.0675451Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:28:54.0676994Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:28:54.0678417Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:28:54.0679546Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:54.0682106Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:54.0683915Z     384 |   unsigned short x;
2025-06-05T23:28:54.0684392Z         |                  ^
2025-06-05T23:28:54.0684940Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:54.0685573Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:54.0686283Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:54.0686991Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:54.0687984Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:54.0689335Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:28:54.0690462Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:54.0699048Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.0716767Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.0732088Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0743375Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0757401Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.0763954Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:54.0765575Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.0766654Z      94 |     struct array
2025-06-05T23:28:54.0767060Z         |            ^~~~~
2025-06-05T23:28:54.0768532Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:54.0769761Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.0770457Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.0778544Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.0795813Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.0811618Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0827289Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0844703Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.0853251Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:54.0855172Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.0856337Z      94 |     struct array
2025-06-05T23:28:54.0856811Z         |            ^~~~~
2025-06-05T23:28:54.0858586Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:54.0860240Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.0861057Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.0870386Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.0891112Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.0911195Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0928263Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.0944321Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.0949135Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:54.0950688Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.0951490Z      94 |     struct array
2025-06-05T23:28:54.0951840Z         |            ^~~~~
2025-06-05T23:28:54.0952525Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:54.0953536Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:54.0954519Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:28:54.0955660Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:28:54.0956991Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:28:54.0957851Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:54.0959730Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:54.0961259Z      84 |   uint16_t x;
2025-06-05T23:28:54.0961600Z         |            ^
2025-06-05T23:28:54.0962083Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:54.0962638Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:54.0963203Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:54.0963865Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:54.0964687Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:54.0965725Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:28:54.0966569Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:54.0973513Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.0987950Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.1001610Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1015162Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1029819Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, const Tensor&, bool, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1037021Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:28:54.1038601Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1039566Z      94 |     struct array
2025-06-05T23:28:54.1039965Z         |            ^~~~~
2025-06-05T23:28:54.1040765Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:54.1042019Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:54.1043204Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:28:54.1044489Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:28:54.1045808Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:28:54.1046904Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:54.1049258Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:54.1050789Z      84 |   uint16_t x;
2025-06-05T23:28:54.1051156Z         |            ^
2025-06-05T23:28:54.1051708Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:54.1052490Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:54.1053342Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:54.1054002Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:54.1054878Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:54.1056092Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:28:54.1057181Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:54.1065615Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.1083438Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.1100485Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1115091Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1130057Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1137449Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.1139175Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1140259Z      94 |     struct array
2025-06-05T23:28:54.1140694Z         |            ^~~~~
2025-06-05T23:28:54.1142408Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:54.1144001Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.1144761Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.1153458Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.1172123Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.1189719Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1204646Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1219474Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1226543Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.1228314Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1229546Z      94 |     struct array
2025-06-05T23:28:54.1229979Z         |            ^~~~~
2025-06-05T23:28:54.1231703Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:54.1233289Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.1234152Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.1242590Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.1260489Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.1277308Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1290885Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1301667Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1305782Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.1306756Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1307333Z      94 |     struct array
2025-06-05T23:28:54.1307571Z         |            ^~~~~
2025-06-05T23:28:54.1308493Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:54.1309297Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.1309697Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.1314168Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.1323698Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.1334128Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1341926Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1349526Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1353217Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.1354125Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1354695Z      94 |     struct array
2025-06-05T23:28:54.1354950Z         |            ^~~~~
2025-06-05T23:28:54.1355825Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:54.1356649Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.1357045Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.1361278Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.1370575Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.1379575Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1386961Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1394597Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1398323Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.1399214Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1399767Z      94 |     struct array
2025-06-05T23:28:54.1400026Z         |            ^~~~~
2025-06-05T23:28:54.1400876Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:54.1401673Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.1402114Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.1406569Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.1416412Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.1428115Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1437854Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1446572Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1450836Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.1451896Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1452547Z      94 |     struct array
2025-06-05T23:28:54.1452787Z         |            ^~~~~
2025-06-05T23:28:54.1453742Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:54.1454541Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.1454979Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.1459385Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.1469050Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.1478545Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1487013Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1495739Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1501079Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.1502079Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1502629Z      94 |     struct array
2025-06-05T23:28:54.1502875Z         |            ^~~~~
2025-06-05T23:28:54.1503689Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:54.1504561Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.1504959Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.1509457Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.1519003Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.1528278Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1536778Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1545520Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1549539Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.1550491Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1551036Z      94 |     struct array
2025-06-05T23:28:54.1551317Z         |            ^~~~~
2025-06-05T23:28:54.1552160Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:54.1552964Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.1553447Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.1557943Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.1567453Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.1577210Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1585055Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1592887Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1596965Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.1598160Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1598768Z      94 |     struct array
2025-06-05T23:28:54.1599143Z         |            ^~~~~
2025-06-05T23:28:54.1600062Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:54.1600928Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.1601462Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.1602385Z   [ 27%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/deprecated.c.o
2025-06-05T23:28:54.1607989Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.1619571Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.1629127Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1637581Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1648439Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1652894Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.1653999Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1654713Z      94 |     struct array
2025-06-05T23:28:54.1655108Z         |            ^~~~~
2025-06-05T23:28:54.1656092Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:54.1656980Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.1657374Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.1663383Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.1676764Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.1688042Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1697784Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1710980Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1715695Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.1717277Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1718311Z      94 |     struct array
2025-06-05T23:28:54.1718771Z         |            ^~~~~
2025-06-05T23:28:54.1720328Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:54.1721715Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.1722410Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.1727441Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.1740890Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.1753257Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1761969Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1772153Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1778508Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.1780317Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1781299Z      94 |     struct array
2025-06-05T23:28:54.1781737Z         |            ^~~~~
2025-06-05T23:28:54.1783269Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:54.1784656Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.1785350Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.1793172Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.1809363Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.1824662Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1838191Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1852781Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1859447Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.1861075Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1862030Z      94 |     struct array
2025-06-05T23:28:54.1862435Z         |            ^~~~~
2025-06-05T23:28:54.1863951Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:54.1865296Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.1865951Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.1870692Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.1885452Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.1902071Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1909885Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1917619Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1921364Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.1922253Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1922819Z      94 |     struct array
2025-06-05T23:28:54.1923058Z         |            ^~~~~
2025-06-05T23:28:54.1923890Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:54.1924670Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.1925060Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.1929553Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.1938865Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.1947441Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1954787Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.1962414Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.1966085Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.1967013Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.1967561Z      94 |     struct array
2025-06-05T23:28:54.1967823Z         |            ^~~~~
2025-06-05T23:28:54.1968276Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:54.1968997Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:54.1969647Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:54.1970328Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:28:54.1971084Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:28:54.1971818Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:28:54.1972426Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:54.1973791Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:54.1974719Z     384 |   unsigned short x;
2025-06-05T23:28:54.1974985Z         |                  ^
2025-06-05T23:28:54.1975273Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:54.1975642Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:54.1976027Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:54.1976425Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:54.1976946Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:54.1977662Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:28:54.1978271Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:54.1982800Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.1992377Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.2001495Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.2009055Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.2016732Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.2020739Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.2021683Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.2022245Z      94 |     struct array
2025-06-05T23:28:54.2022483Z         |            ^~~~~
2025-06-05T23:28:54.2022951Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:54.2023655Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:54.2024377Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:54.2025086Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:28:54.2025846Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:28:54.2026598Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:28:54.2027204Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:54.2028498Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:54.2030251Z     384 |   unsigned short x;
2025-06-05T23:28:54.2030704Z         |                  ^
2025-06-05T23:28:54.2031238Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:54.2031879Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:54.2032587Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:54.2033336Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:54.2034342Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:54.2035683Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:28:54.2036814Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:54.2045031Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.2062489Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.2079373Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.2093232Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.2107608Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.2114562Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.2116181Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.2117171Z      94 |     struct array
2025-06-05T23:28:54.2117591Z         |            ^~~~~
2025-06-05T23:28:54.2118990Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:54.2120364Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.2121079Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.2129897Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.2147954Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.2164929Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.2179252Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.2195702Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.2201862Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.2203215Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.2204104Z      94 |     struct array
2025-06-05T23:28:54.2204480Z         |            ^~~~~
2025-06-05T23:28:54.2205900Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:54.2207104Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.2207756Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.2214430Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.2229478Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.2244030Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.2256437Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.2269536Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.2275970Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.2277825Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.2278872Z      94 |     struct array
2025-06-05T23:28:54.2279286Z         |            ^~~~~
2025-06-05T23:28:54.2280243Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:54.2281457Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:54.2297287Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:28:54.2298680Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:28:54.2300050Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:28:54.2301185Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:54.2303465Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:54.2305173Z      84 |   uint16_t x;
2025-06-05T23:28:54.2305605Z         |            ^
2025-06-05T23:28:54.2306041Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:54.2306734Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:54.2307437Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:54.2308191Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:54.2309111Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:54.2310343Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:28:54.2311444Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:54.2319601Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.2341731Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.3269157Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.3280533Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.3289202Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::copy_(executorch::runtime::KernelRuntimeContext&, torch::executor::native::Tensor&, const Tensor&, bool)::<lambda()>::<lambda()>::<lambda(CTYPE, CTYPE)>]’
2025-06-05T23:28:54.3293997Z   /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:28:54.3295467Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.3296406Z      94 |     struct array
2025-06-05T23:28:54.3296786Z         |            ^~~~~
2025-06-05T23:28:54.3297606Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:54.3298746Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:54.3299428Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:28:54.3300186Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:28:54.3300926Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:28:54.3301537Z                    from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:28:54.3302867Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:54.3303893Z      84 |   uint16_t x;
2025-06-05T23:28:54.3304137Z         |            ^
2025-06-05T23:28:54.3304655Z   [ 27%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_detach_copy.cpp.o
2025-06-05T23:28:54.3305553Z   [ 27%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_diagonal_copy.cpp.o
2025-06-05T23:28:54.3306604Z   [ 27%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vunary/gen/f16-vabs-sse2-u16.c.o
2025-06-05T23:28:54.3307717Z   [ 27%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vunary/gen/f16-vneg-sse2-u16.c.o
2025-06-05T23:28:54.3308717Z   In file included from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:44,
2025-06-05T23:28:54.3309429Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:28:54.3310083Z                    from /pytorch/executorch/../executorch/kernels/optimized/cpu/binary_ops.h:12,
2025-06-05T23:28:54.3310665Z                    from /pytorch/executorch/kernels/optimized/cpu/op_sub.cpp:9:
2025-06-05T23:28:54.3311252Z   /pytorch/executorch/kernels/optimized/cpu/op_sub.cpp: In lambda function:
2025-06-05T23:28:54.3312142Z   /pytorch/executorch/kernels/optimized/cpu/op_sub.cpp:122:17: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2025-06-05T23:28:54.3312917Z     122 |                 [alpha_val, scalar_casted](Vec x) {
2025-06-05T23:28:54.3313239Z         |                 ^
2025-06-05T23:28:54.3314026Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:914:7: note: in definition of macro ‘ET_INTERNAL_SWITCH’
2025-06-05T23:28:54.3314757Z     914 |       __VA_ARGS__                                    \
2025-06-05T23:28:54.3315089Z         |       ^~~~~~~~~~~
2025-06-05T23:28:54.3315872Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:925:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2025-06-05T23:28:54.3316685Z     925 |   ET_INTERNAL_SWITCH_CASE(                                             \
2025-06-05T23:28:54.3317089Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:54.3317932Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:951:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_INT_TYPES’
2025-06-05T23:28:54.3318784Z     951 |   ET_INTERNAL_SWITCH_CASE_INT_TYPES(CTYPE_ALIAS, __VA_ARGS__) \
2025-06-05T23:28:54.3319175Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:54.3320064Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1122:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2025-06-05T23:28:54.3320931Z    1122 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__))
2025-06-05T23:28:54.3321336Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:54.3322047Z   /pytorch/executorch/kernels/optimized/cpu/op_sub.cpp:111:7: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES’
2025-06-05T23:28:54.3322746Z     111 |       ET_SWITCH_REAL_TYPES(tensor_type, ctx, "sub.out", CTYPE, [&]() {
2025-06-05T23:28:54.3323152Z         |       ^~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:54.3323945Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1118:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH’
2025-06-05T23:28:54.3324736Z    1118 |   ET_INTERNAL_SWITCH(                                               \
2025-06-05T23:28:54.3325124Z         |   ^~~~~~~~~~~~~~~~~~
2025-06-05T23:28:54.3325914Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:925:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2025-06-05T23:28:54.3326730Z     925 |   ET_INTERNAL_SWITCH_CASE(                                             \
2025-06-05T23:28:54.3327154Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:54.3328020Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:951:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_INT_TYPES’
2025-06-05T23:28:54.3329208Z     951 |   ET_INTERNAL_SWITCH_CASE_INT_TYPES(CTYPE_ALIAS, __VA_ARGS__) \
2025-06-05T23:28:54.3329777Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:54.3331148Z   /pytorch/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1122:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2025-06-05T23:28:54.3332121Z    1122 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__))
2025-06-05T23:28:54.3332541Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:54.3333447Z   /pytorch/executorch/kernels/optimized/cpu/op_sub.cpp:112:9: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES’
2025-06-05T23:28:54.3334757Z     112 |         ET_SWITCH_REAL_TYPES(scalar_type, ctx, "sub.out", CTYPE_SCALAR, [&]() {
2025-06-05T23:28:54.3335469Z         |         ^~~~~~~~~~~~~~~~~~~~
2025-06-05T23:28:54.3336065Z   [ 27%] Linking CXX static library liboptimized_kernels.a
2025-06-05T23:28:54.3337265Z   [ 27%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/depth-to-space-2d.c.o
2025-06-05T23:28:54.3339113Z   [ 27%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-vunary/gen/f16-vsqr-f16c-u16.c.o
2025-06-05T23:28:54.3340663Z   [ 27%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_div.cpp.o
2025-06-05T23:28:54.3341954Z   [ 27%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_elu.cpp.o
2025-06-05T23:28:54.5154901Z   [ 27%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_embedding.cpp.o
2025-06-05T23:28:54.5156710Z   [ 27%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/depthwise-convolution-2d.c.o
2025-06-05T23:28:54.5158609Z   [ 27%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/even-split.c.o
2025-06-05T23:28:54.5160652Z   [ 27%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-argmaxpool/f32-argmaxpool-4x-scalar-c1.c.o
2025-06-05T23:28:54.5162894Z   [ 27%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-argmaxpool/f32-argmaxpool-4x-sse2-c4.c.o
2025-06-05T23:28:54.5165171Z   [ 27%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/fully-connected-sparse.c.o
2025-06-05T23:28:54.5166778Z   [ 27%] Built target optimized_kernels
2025-06-05T23:28:54.5168056Z   [ 27%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/fully-connected.c.o
2025-06-05T23:28:54.5169268Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:54.5169939Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:54.5170647Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:54.5171353Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:54.5172235Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:54.5173322Z                    from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:28:54.5181627Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.5198372Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.5211133Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5221661Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5234153Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>]’
2025-06-05T23:28:54.5239456Z   /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:28:54.5240660Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.5241481Z      94 |     struct array
2025-06-05T23:28:54.5241814Z         |            ^~~~~
2025-06-05T23:28:54.5243043Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:54.5244122Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.5244642Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.5251396Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.5267604Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.5284088Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5297321Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5309884Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>]’
2025-06-05T23:28:54.5316890Z   /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:28:54.5318528Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.5319543Z      94 |     struct array
2025-06-05T23:28:54.5319966Z         |            ^~~~~
2025-06-05T23:28:54.5321439Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:54.5322796Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.5323516Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.5332053Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.5350617Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.5368068Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5383900Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5399358Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>]’
2025-06-05T23:28:54.5407038Z   /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:28:54.5408726Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.5409736Z      94 |     struct array
2025-06-05T23:28:54.5410174Z         |            ^~~~~
2025-06-05T23:28:54.5411716Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:54.5413367Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.5414111Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.5423222Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.5442529Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.5461037Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5477209Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5493110Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>]’
2025-06-05T23:28:54.5500743Z   /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:28:54.5502419Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.5503467Z      94 |     struct array
2025-06-05T23:28:54.5503906Z         |            ^~~~~
2025-06-05T23:28:54.5505458Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:54.5506987Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.5507724Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.5516126Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.5537044Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.5554439Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5569662Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5585457Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>]’
2025-06-05T23:28:54.5593208Z   /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:28:54.5594893Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.5595819Z      94 |     struct array
2025-06-05T23:28:54.5596246Z         |            ^~~~~
2025-06-05T23:28:54.5597086Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:54.5598418Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:54.5599650Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:54.5600926Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:28:54.5602096Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:28:54.5603176Z                    from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:28:54.5605658Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:54.5607413Z     384 |   unsigned short x;
2025-06-05T23:28:54.5607920Z         |                  ^
2025-06-05T23:28:54.5608429Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:54.5609092Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:54.5609797Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:54.5610528Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:54.5611437Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:54.5612507Z                    from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:28:54.5621860Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.5641226Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.5660207Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5675915Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5691396Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>]’
2025-06-05T23:28:54.5699014Z   /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:28:54.5700520Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.5701425Z      94 |     struct array
2025-06-05T23:28:54.5701783Z         |            ^~~~~
2025-06-05T23:28:54.5702532Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:54.5703853Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:54.5705009Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:54.5705654Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:28:54.5706310Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:28:54.5706876Z                    from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:28:54.5708210Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:54.5709138Z     384 |   unsigned short x;
2025-06-05T23:28:54.5709394Z         |                  ^
2025-06-05T23:28:54.5709743Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:54.5710106Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:54.5710507Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:54.5710909Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:54.5711418Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:54.5711988Z                    from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:28:54.5717465Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.5738268Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.5759231Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5774605Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5789622Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>]’
2025-06-05T23:28:54.5797099Z   /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:28:54.5798730Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.5799777Z      94 |     struct array
2025-06-05T23:28:54.5800237Z         |            ^~~~~
2025-06-05T23:28:54.5801163Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:54.5802440Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:54.5803588Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:28:54.5804723Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:28:54.5805657Z                    from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:28:54.5808100Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:54.5809784Z      84 |   uint16_t x;
2025-06-05T23:28:54.5810171Z         |            ^
2025-06-05T23:28:54.5810635Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:54.5811374Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:54.5812136Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:54.5812842Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:54.5813811Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:54.5814862Z                    from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:28:54.5823712Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.5831579Z   [ 27%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/max-pooling-2d.c.o
2025-06-05T23:28:54.5843395Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.5861103Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5876607Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5891750Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::elu_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>]’
2025-06-05T23:28:54.5899399Z   /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:28:54.5901248Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.5902306Z      94 |     struct array
2025-06-05T23:28:54.5902738Z         |            ^~~~~
2025-06-05T23:28:54.5903600Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:54.5904871Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:54.5906078Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:28:54.5907234Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:28:54.5908250Z                    from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:28:54.5910638Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:54.5912427Z      84 |   uint16_t x;
2025-06-05T23:28:54.5912843Z         |            ^
2025-06-05T23:28:54.5913797Z   [ 27%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_empty.cpp.o
2025-06-05T23:28:54.5914979Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:54.5915480Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:54.5915868Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:54.5916277Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:54.5916819Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:54.5917386Z                    from /pytorch/executorch/kernels/portable/cpu/op_div.cpp:9:
2025-06-05T23:28:54.5922101Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.5936885Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.5950841Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5962840Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.5976255Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:54.5982229Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:60:3:   required from here
2025-06-05T23:28:54.5983616Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.5984348Z      94 |     struct array
2025-06-05T23:28:54.5984691Z         |            ^~~~~
2025-06-05T23:28:54.5985847Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:54.5987072Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.5987670Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.5996341Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.6011674Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.6021610Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6030009Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6044216Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:54.6051913Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:60:3:   required from here
2025-06-05T23:28:54.6053627Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.6054566Z      94 |     struct array
2025-06-05T23:28:54.6054959Z         |            ^~~~~
2025-06-05T23:28:54.6056846Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:54.6058217Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.6058926Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.6067718Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.6085343Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.6096547Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6104717Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6113444Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:54.6117604Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:60:3:   required from here
2025-06-05T23:28:54.6118585Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.6119157Z      94 |     struct array
2025-06-05T23:28:54.6119415Z         |            ^~~~~
2025-06-05T23:28:54.6120327Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:54.6121153Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.6121557Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.6126871Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.6138160Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.6148083Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6157550Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6169155Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::div_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:54.6176106Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:60:3:   required from here
2025-06-05T23:28:54.6177788Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.6178764Z      94 |     struct array
2025-06-05T23:28:54.6179200Z         |            ^~~~~
2025-06-05T23:28:54.6180756Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:54.6182058Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.6182813Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.6191724Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.6206359Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.6216376Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6231588Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6248748Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.6256328Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:28:54.6258093Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.6259150Z      94 |     struct array
2025-06-05T23:28:54.6259574Z         |            ^~~~~
2025-06-05T23:28:54.6261272Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:54.6262827Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.6263530Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.6272499Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.6285468Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.6295934Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6304979Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6314734Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.6320498Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:28:54.6321459Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.6322032Z      94 |     struct array
2025-06-05T23:28:54.6322288Z         |            ^~~~~
2025-06-05T23:28:54.6323251Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:54.6324238Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.6324641Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.6331635Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.6351753Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.6369986Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6386515Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6404158Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.6412473Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:28:54.6414317Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.6415370Z      94 |     struct array
2025-06-05T23:28:54.6415766Z         |            ^~~~~
2025-06-05T23:28:54.6417425Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:54.6418960Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.6419662Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.6429692Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.6450785Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.6464587Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6481501Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6492708Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.6497507Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:28:54.6498727Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.6499300Z      94 |     struct array
2025-06-05T23:28:54.6499651Z         |            ^~~~~
2025-06-05T23:28:54.6500658Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:54.6501625Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.6502033Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.6509939Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.6527795Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.6540968Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6551671Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6568064Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.6575494Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:28:54.6577129Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.6578030Z      94 |     struct array
2025-06-05T23:28:54.6578467Z         |            ^~~~~
2025-06-05T23:28:54.6579978Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:54.6581340Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.6582003Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.6590363Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.6602784Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.6621785Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6635503Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6648642Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.6655346Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:28:54.6656761Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.6657580Z      94 |     struct array
2025-06-05T23:28:54.6657945Z         |            ^~~~~
2025-06-05T23:28:54.6659232Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:54.6660398Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.6660966Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.6668368Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.6683923Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.6699072Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6712704Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6729389Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.6733960Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:28:54.6735038Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.6735612Z      94 |     struct array
2025-06-05T23:28:54.6735918Z         |            ^~~~~
2025-06-05T23:28:54.6736894Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:54.6737729Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.6738118Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.6743442Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.6755479Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.6769542Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6778828Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6787955Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.6792122Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:28:54.6793096Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.6793842Z      94 |     struct array
2025-06-05T23:28:54.6794219Z         |            ^~~~~
2025-06-05T23:28:54.6795508Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:54.6796721Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.6797705Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.6806356Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.6822719Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.6836683Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6852568Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6868531Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.6875813Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:28:54.6876785Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.6877353Z      94 |     struct array
2025-06-05T23:28:54.6877592Z         |            ^~~~~
2025-06-05T23:28:54.6879629Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:54.6881071Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.6881772Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.6890963Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.6904282Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::r[ 27%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_eq.cpp.o
2025-06-05T23:28:54.6912944Z   untime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.6922303Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6934374Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.6943849Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.6948877Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:28:54.6950416Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.6951383Z      94 |     struct array
2025-06-05T23:28:54.6951782Z         |            ^~~~~
2025-06-05T23:28:54.6953391Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:54.6954862Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.6955521Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.6964214Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.6983813Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.7001844Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7016246Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7026003Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.7031472Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:28:54.7032960Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.7033914Z      94 |     struct array
2025-06-05T23:28:54.7034323Z         |            ^~~~~
2025-06-05T23:28:54.7035765Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:54.7036669Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.7037084Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.7044313Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.7056607Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.7067016Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7075741Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7086707Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.7092657Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:28:54.7094361Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.7095519Z      94 |     struct array
2025-06-05T23:28:54.7095985Z         |            ^~~~~
2025-06-05T23:28:54.7097575Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:54.7098948Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.7099617Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.7108665Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.7124920Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.7147014Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7164097Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7173840Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.7181779Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:28:54.7183525Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.7184513Z      94 |     struct array
2025-06-05T23:28:54.7184925Z         |            ^~~~~
2025-06-05T23:28:54.7186445Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:54.7187973Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.7188676Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.7198122Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.7218172Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.7230693Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7243253Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7253030Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::div_out_mode(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.7257799Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:28:54.7258731Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.7259278Z      94 |     struct array
2025-06-05T23:28:54.7259535Z         |            ^~~~~
2025-06-05T23:28:54.7260364Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:54.7261217Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.7261630Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.7265655Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.7274332Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.7282578Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7291057Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7305163Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>]’
2025-06-05T23:28:54.7312039Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:192:3:   required from here
2025-06-05T23:28:54.7313683Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.7314497Z      94 |     struct array
2025-06-05T23:28:54.7314918Z         |            ^~~~~
2025-06-05T23:28:54.7316398Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:54.7317820Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.7318535Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.7326893Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.7344592Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.7360346Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7374466Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7388625Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>]’
2025-06-05T23:28:54.7395538Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:192:3:   required from here
2025-06-05T23:28:54.7397240Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.7398245Z      94 |     struct array
2025-06-05T23:28:54.7398679Z         |            ^~~~~
2025-06-05T23:28:54.7400205Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:54.7401631Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.7402452Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.7410146Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.7417557Z   [ 27%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-argmaxpool/f32-argmaxpool-9p8x-scalar-c1.c.o
2025-06-05T23:28:54.7429589Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.7444453Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7457902Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7472262Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>]’
2025-06-05T23:28:54.7479257Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:192:3:   required from here
2025-06-05T23:28:54.7480938Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.7482002Z      94 |     struct array
2025-06-05T23:28:54.7482437Z         |            ^~~~~
2025-06-05T23:28:54.7483956Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:54.7485314Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.7486020Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.7494128Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.7511781Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.7529090Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7542488Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7556756Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::div_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>]’
2025-06-05T23:28:54.7563640Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:192:3:   required from here
2025-06-05T23:28:54.7565339Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.7566342Z      94 |     struct array
2025-06-05T23:28:54.7566760Z         |            ^~~~~
2025-06-05T23:28:54.7568283Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:54.7569720Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.7570385Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.7579346Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.7598328Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.7616357Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7630034Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7641666Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:261:76:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.7645278Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:260:3:   required from here
2025-06-05T23:28:54.7646222Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.7646807Z      94 |     struct array
2025-06-05T23:28:54.7647062Z         |            ^~~~~
2025-06-05T23:28:54.7647958Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:54.7648794Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.7649233Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.7654063Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.7667194Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.7685298Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7693529Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7700589Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:261:76:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.7704059Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:260:3:   required from here
2025-06-05T23:28:54.7704970Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.7705541Z      94 |     struct array
2025-06-05T23:28:54.7705797Z         |            ^~~~~
2025-06-05T23:28:54.7706668Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:54.7707498Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.7707906Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.7712465Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.7723025Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.7732634Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7742724Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7750033Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:261:76:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.7753492Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:260:3:   required from here
2025-06-05T23:28:54.7754396Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.7755080Z      94 |     struct array
2025-06-05T23:28:54.7755329Z         |            ^~~~~
2025-06-05T23:28:54.7756247Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:54.7757080Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.7757489Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.7762063Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.7772330Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.7781649Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7788927Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7796434Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:261:76:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.7800445Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:260:3:   required from here
2025-06-05T23:28:54.7801550Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.7802501Z      94 |     struct array
2025-06-05T23:28:54.7802814Z         |            ^~~~~
2025-06-05T23:28:54.7803728Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:54.7804607Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.7804999Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.7809617Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.7819505Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.7829431Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7838199Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7845208Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:261:76:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.7848765Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:260:3:   required from here
2025-06-05T23:28:54.7849661Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.7850221Z      94 |     struct array
2025-06-05T23:28:54.7850477Z         |            ^~~~~
2025-06-05T23:28:54.7851315Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:54.7852115Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.7852519Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.7858030Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.7868359Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.7881537Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7892475Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.7902869Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:261:76:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.7907966Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:260:3:   required from here
2025-06-05T23:28:54.7909437Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.7910318Z      94 |     struct array
2025-06-05T23:28:54.7910693Z         |            ^~~~~
2025-06-05T23:28:54.7912057Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:54.7913250Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.7914015Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.8009872Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.8031405Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.8051401Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8067107Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8083227Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:261:76:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); Op = torch::executor::native::div_scalar_mode_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, std::optional<std::basic_string_view<char> >, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.8090373Z   /pytorch/executorch/kernels/portable/cpu/op_div.cpp:260:3:   required from here
2025-06-05T23:28:54.8092067Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.8093300Z      94 |     struct array
2025-06-05T23:28:54.8093891Z         |            ^~~~~
2025-06-05T23:28:54.8095638Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:54.8097348Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.8098066Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.8099813Z   [ 28%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-argmaxpool/f32-argmaxpool-9p8x-sse2-c4.c.o
2025-06-05T23:28:54.8101855Z   [ 28%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/pack-lh.c.o
2025-06-05T23:28:54.8103817Z   [ 28%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/reshape-helpers.c.o
2025-06-05T23:28:54.8106048Z   [ 28%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-argmaxpool/f32-argmaxpool-9x-scalar-c1.c.o
2025-06-05T23:28:54.8108184Z   [ 28%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_erf.cpp.o
2025-06-05T23:28:54.8109934Z   [ 29%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_exp.cpp.o
2025-06-05T23:28:54.8111729Z   [ 29%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_expand_copy.cpp.o
2025-06-05T23:28:54.8113165Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:54.8114026Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:54.8114850Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:54.8115810Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:54.8116696Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:54.8118317Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:11,
2025-06-05T23:28:54.8119834Z                    from /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:9:
2025-06-05T23:28:54.8127933Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.8148100Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.8165174Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8179947Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8193424Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<unsigned char>]’
2025-06-05T23:28:54.8204390Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.8209077Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.8211216Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.8212486Z      94 |     struct array
2025-06-05T23:28:54.8212969Z         |            ^~~~~
2025-06-05T23:28:54.8215214Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:54.8217161Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.8217867Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.8225880Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.8242287Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.8260553Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8274145Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8287425Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<unsigned char>]’
2025-06-05T23:28:54.8297828Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.8302945Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.8305123Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.8306353Z      94 |     struct array
2025-06-05T23:28:54.8307022Z         |            ^~~~~
2025-06-05T23:28:54.8309120Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:54.8310956Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.8311666Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.8318823Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.8335819Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.8352856Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8366295Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8379891Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<signed char>]’
2025-06-05T23:28:54.8391378Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.8396223Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.8398421Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.8399446Z      94 |     struct array
2025-06-05T23:28:54.8399953Z         |            ^~~~~
2025-06-05T23:28:54.8401465Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:54.8402878Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.8403465Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.8407646Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.8416688Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.8430938Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8444437Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8457642Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<signed char>]’
2025-06-05T23:28:54.8467958Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.8472307Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.8474014Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.8475172Z      94 |     struct array
2025-06-05T23:28:54.8475776Z         |            ^~~~~
2025-06-05T23:28:54.8477422Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:54.8479035Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.8479864Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.8487215Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.8503157Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.8517849Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8531866Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8544306Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<short int>]’
2025-06-05T23:28:54.8553378Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.8555732Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.8556799Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.8557367Z      94 |     struct array
2025-06-05T23:28:54.8557603Z         |            ^~~~~
2025-06-05T23:28:54.8558469Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:54.8559258Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.8559658Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.8563706Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.8575351Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.8587936Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8600292Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8612525Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<short int>]’
2025-06-05T23:28:54.8621981Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.8626051Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.8645316Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.8646346Z      94 |     struct array
2025-06-05T23:28:54.8646816Z         |            ^~~~~
2025-06-05T23:28:54.8648336Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:54.8649694Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.8650387Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.8656622Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.8669432Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.8680322Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8689240Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8698668Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<int>]’
2025-06-05T23:28:54.8705697Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.8708721Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.8709945Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.8710697Z      94 |     struct array
2025-06-05T23:28:54.8711029Z         |            ^~~~~
2025-06-05T23:28:54.8712249Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:54.8713344Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.8713899Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.8719860Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.8734914Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.8746276Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8752557Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8758811Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<int>]’
2025-06-05T23:28:54.8763734Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.8766252Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.8767774Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.8768739Z      94 |     struct array
2025-06-05T23:28:54.8769176Z         |            ^~~~~
2025-06-05T23:28:54.8770708Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:54.8772074Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.8772878Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.8779292Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.8793328Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.8807512Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8819761Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8836062Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<long int>]’
2025-06-05T23:28:54.8845729Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.8849769Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.8851454Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.8852492Z      94 |     struct array
2025-06-05T23:28:54.8853023Z         |            ^~~~~
2025-06-05T23:28:54.8854630Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:54.8856136Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.8856855Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.8864145Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.8880299Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.8895956Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8908340Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8920344Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<long int>]’
2025-06-05T23:28:54.8929697Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.8933731Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.8935451Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.8936465Z      94 |     struct array
2025-06-05T23:28:54.8936970Z         |            ^~~~~
2025-06-05T23:28:54.8938556Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:54.8940029Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.8940755Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.8947552Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.8962533Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.8976561Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.8988353Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9000529Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<float>]’
2025-06-05T23:28:54.9010163Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9014375Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.9016017Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.9016650Z      94 |     struct array
2025-06-05T23:28:54.9016893Z         |            ^~~~~
2025-06-05T23:28:54.9017726Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:54.9018511Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9018908Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9022748Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.9031228Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.9039156Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9045559Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9051993Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<float>]’
2025-06-05T23:28:54.9056962Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9059080Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.9059965Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.9060512Z      94 |     struct array
2025-06-05T23:28:54.9060776Z         |            ^~~~~
2025-06-05T23:28:54.9061607Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:54.9062371Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9062779Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9066385Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.9074401Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.9081904Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9092392Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9105027Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<double>]’
2025-06-05T23:28:54.9115581Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9118213Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.9119149Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.9119723Z      94 |     struct array
2025-06-05T23:28:54.9119967Z         |            ^~~~~
2025-06-05T23:28:54.9120871Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:54.9121659Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9122052Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9126056Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.9136902Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.9142484Z   [ 29%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/scaled-dot-product-attention.c.o
2025-06-05T23:28:54.9143661Z   [ 29%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-argmaxpool/f32-argmaxpool-9x-sse2-c4.c.o
2025-06-05T23:28:54.9147938Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9155360Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9166485Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<double>]’
2025-06-05T23:28:54.9171561Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9174539Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.9176025Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.9177047Z      94 |     struct array
2025-06-05T23:28:54.9177567Z         |            ^~~~~
2025-06-05T23:28:54.9179052Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:54.9180466Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9181453Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9188063Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.9202727Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.9216692Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9225183Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9234985Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<bool>]’
2025-06-05T23:28:54.9240048Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9242201Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.9243086Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.9243622Z      94 |     struct array
2025-06-05T23:28:54.9243876Z         |            ^~~~~
2025-06-05T23:28:54.9244681Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:54.9245538Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9245942Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9249783Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.9259737Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.9269155Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9275534Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9281932Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::equal_to<bool>]’
2025-06-05T23:28:54.9286894Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9288971Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:28:54.9289835Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:54.9290366Z      94 |     struct array
2025-06-05T23:28:54.9290621Z         |            ^~~~~
2025-06-05T23:28:54.9291417Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:54.9292177Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9292666Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9297333Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.9307131Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.9316486Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9324441Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9332996Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.9338846Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9341001Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:54.9341895Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.9342476Z      94 |     struct array
2025-06-05T23:28:54.9342721Z         |            ^~~~~
2025-06-05T23:28:54.9343628Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:54.9344461Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9344858Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9349652Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.9359768Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.9369598Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9379350Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9390742Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.9396904Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9398987Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:54.9399942Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.9400511Z      94 |     struct array
2025-06-05T23:28:54.9400765Z         |            ^~~~~
2025-06-05T23:28:54.9401668Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:54.9402488Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9402889Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9407380Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.9416914Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.9425994Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9434670Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9442794Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.9448494Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9450563Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:54.9451443Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.9452014Z      94 |     struct array
2025-06-05T23:28:54.9452267Z         |            ^~~~~
2025-06-05T23:28:54.9453214Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:54.9454042Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9454437Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9459201Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.9469348Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.9478922Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9486953Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9495097Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.9500901Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9502952Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:54.9503850Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.9504428Z      94 |     struct array
2025-06-05T23:28:54.9504664Z         |            ^~~~~
2025-06-05T23:28:54.9505545Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:54.9506352Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9506749Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9512463Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.9516624Z   [ 29%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-avgpool/f32-avgpool-9p8x-minmax-scalar-c1.c.o
2025-06-05T23:28:54.9523367Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.9535262Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9550390Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9565246Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.9576101Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9579981Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:54.9581573Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.9582498Z      94 |     struct array
2025-06-05T23:28:54.9582900Z         |            ^~~~~
2025-06-05T23:28:54.9584528Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:54.9585991Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9586659Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9594891Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.9612399Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.9622898Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9631232Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9639487Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.9646015Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9649382Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:54.9650506Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.9651092Z      94 |     struct array
2025-06-05T23:28:54.9651470Z         |            ^~~~~
2025-06-05T23:28:54.9652856Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:54.9654163Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9654805Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9660249Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.9669721Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.9680519Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9690293Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9702470Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.9708341Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9710433Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:54.9711283Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.9711832Z      94 |     struct array
2025-06-05T23:28:54.9712083Z         |            ^~~~~
2025-06-05T23:28:54.9712874Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:54.9713673Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9714067Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9719832Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.9730402Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.9740214Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9752477Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9764591Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.9773374Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9776396Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:54.9777649Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.9778413Z      94 |     struct array
2025-06-05T23:28:54.9778742Z         |            ^~~~~
2025-06-05T23:28:54.9779952Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:54.9781170Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9781776Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9788340Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.9804471Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.9817639Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9825404Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9834531Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.9841593Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9844008Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:54.9844911Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.9845492Z      94 |     struct array
2025-06-05T23:28:54.9845745Z         |            ^~~~~
2025-06-05T23:28:54.9846834Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:54.9848184Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9848831Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9857448Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:54.9876817Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:54.9895420Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9911037Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:54.9926723Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:54.9937680Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:54.9941678Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:54.9943337Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:54.9944546Z      94 |     struct array
2025-06-05T23:28:54.9944975Z         |            ^~~~~
2025-06-05T23:28:54.9946684Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:54.9948221Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:54.9949005Z         |                                                        ^~~~~~~~
2025-06-05T23:28:54.9957580Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:54.9975711Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:54.9993412Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.0008664Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.0025065Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.0036770Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.0040802Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:55.0042468Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.0043478Z      94 |     struct array
2025-06-05T23:28:55.0043909Z         |            ^~~~~
2025-06-05T23:28:55.0045430Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:55.0046864Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.0047587Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.0056660Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.0074969Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.0093245Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.0108450Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.0124181Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.0135739Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.0139804Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:55.0141435Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.0142459Z      94 |     struct array
2025-06-05T23:28:55.0142892Z         |            ^~~~~
2025-06-05T23:28:55.0144500Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:55.0145965Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.0146671Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.0155019Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.0173450Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.0190027Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.0205068Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.0220865Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.0231298Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.0235033Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:55.0236690Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.0237711Z      94 |     struct array
2025-06-05T23:28:55.0238134Z         |            ^~~~~
2025-06-05T23:28:55.0239718Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:55.0241199Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.0241904Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.0250981Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.0270570Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.0288542Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.0304183Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.0320116Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.0331239Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.0335255Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:55.0336921Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.0337887Z      94 |     struct array
2025-06-05T23:28:55.0338294Z         |            ^~~~~
2025-06-05T23:28:55.0339884Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:55.0341308Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.0342025Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.0350400Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.0369380Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.0387011Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.0401767Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.0417267Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.0428447Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.0432634Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:55.0434243Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.0435222Z      94 |     struct array
2025-06-05T23:28:55.0435614Z         |            ^~~~~
2025-06-05T23:28:55.0437259Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:55.0438780Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.0439450Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.0448460Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.0467666Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.3413451Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.3430047Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.3445741Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.3457028Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.3460758Z   /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:28:55.3461821Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.3462684Z      94 |     struct array
2025-06-05T23:28:55.3463108Z         |            ^~~~~
2025-06-05T23:28:55.3464604Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:55.3466023Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.3466735Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.3467810Z   [ 29%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_expm1.cpp.o
2025-06-05T23:28:55.3469850Z   [ 29%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-avgpool/f32-avgpool-9p8x-minmax-sse-c4.c.o
2025-06-05T23:28:55.3472013Z   [ 29%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_fill.cpp.o
2025-06-05T23:28:55.3473608Z   [ 29%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/softmax.c.o
2025-06-05T23:28:55.3475641Z   [ 29%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-avgpool/f32-avgpool-9x-minmax-scalar-c1.c.o
2025-06-05T23:28:55.3477596Z   [ 29%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_flip.cpp.o
2025-06-05T23:28:55.3479127Z   [ 29%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_floor.cpp.o
2025-06-05T23:28:55.3480847Z   [ 29%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/space-to-depth-2d.c.o
2025-06-05T23:28:55.3482796Z   [ 29%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-constant-pad.c.o
2025-06-05T23:28:55.3484703Z   [ 29%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-reduce.c.o
2025-06-05T23:28:55.3486562Z   [ 29%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-resize-bilinear-2d.c.o
2025-06-05T23:28:55.3488457Z   [ 29%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_floor_divide.cpp.o
2025-06-05T23:28:55.3490468Z   [ 29%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-avgpool/f32-avgpool-9x-minmax-sse-c4.c.o
2025-06-05T23:28:55.3492233Z   [ 29%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_fmod.cpp.o
2025-06-05T23:28:55.3493767Z   [ 29%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_full.cpp.o
2025-06-05T23:28:55.3495841Z   [ 29%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-scalar-1x1.c.o
2025-06-05T23:28:55.3497959Z   [ 29%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_full_like.cpp.o
2025-06-05T23:28:55.3500075Z   [ 29%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-2x2.c.o
2025-06-05T23:28:55.3502239Z   [ 29%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-slice.c.o
2025-06-05T23:28:55.3503483Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:55.3504149Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:55.3504831Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:55.3505546Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:55.3506458Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:55.3507803Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:28:55.3509001Z                    from /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:9:
2025-06-05T23:28:55.3519593Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.3539619Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.3557908Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.3574102Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.3590976Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.3598771Z   /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:28:55.3600695Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.3601801Z      94 |     struct array
2025-06-05T23:28:55.3602194Z         |            ^~~~~
2025-06-05T23:28:55.3603946Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:55.3605448Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.3606130Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.3615715Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.3636431Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.3656236Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.3672702Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.3689674Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.3697754Z   /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:28:55.3699689Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.3700650Z      94 |     struct array
2025-06-05T23:28:55.3701053Z         |            ^~~~~
2025-06-05T23:28:55.3702781Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:55.3704373Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.3705072Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.3714042Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.3734446Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.3752692Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.3768610Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.3787209Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.3796004Z   /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:28:55.3797834Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.3799010Z      94 |     struct array
2025-06-05T23:28:55.3799429Z         |            ^~~~~
2025-06-05T23:28:55.3801050Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:55.3802472Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.3803153Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.3812651Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.3833529Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.3847356Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.3859016Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.3870602Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.3876145Z   /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:28:55.3877396Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.3878153Z      94 |     struct array
2025-06-05T23:28:55.3878489Z         |            ^~~~~
2025-06-05T23:28:55.3879761Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:55.3881164Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.3881766Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.3887630Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.3897931Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.3907453Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.3921964Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.3937976Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.3944929Z   /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:28:55.3946501Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.3947369Z      94 |     struct array
2025-06-05T23:28:55.3947740Z         |            ^~~~~
2025-06-05T23:28:55.3949104Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:55.3950373Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.3950979Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.3960146Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.3978740Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.3994183Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4010810Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4027898Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.4035869Z   /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:28:55.4037675Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.4038850Z      94 |     struct array
2025-06-05T23:28:55.4039252Z         |            ^~~~~
2025-06-05T23:28:55.4040971Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:55.4042464Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.4043183Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.4052112Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.4071038Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.4086385Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4098693Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4112787Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.4119659Z   /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:28:55.4121232Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.4122161Z      94 |     struct array
2025-06-05T23:28:55.4122592Z         |            ^~~~~
2025-06-05T23:28:55.4124007Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:55.4125158Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.4125772Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.4134452Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.4154739Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.4173747Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4190274Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4207166Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.4215186Z   /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:28:55.4217039Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.4218050Z      94 |     struct array
2025-06-05T23:28:55.4218492Z         |            ^~~~~
2025-06-05T23:28:55.4220009Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:55.4221313Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.4221905Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.4230870Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.4249996Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.4268321Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4283700Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4300234Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.4308209Z   /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:28:55.4310010Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.4311034Z      94 |     struct array
2025-06-05T23:28:55.4311459Z         |            ^~~~~
2025-06-05T23:28:55.4313002Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:55.4314427Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.4315128Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.4324393Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.4344957Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.4364306Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4380830Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4397542Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.4405490Z   /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:28:55.4407283Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.4408298Z      94 |     struct array
2025-06-05T23:28:55.4408722Z         |            ^~~~~
2025-06-05T23:28:55.4410328Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:55.4411724Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.4412515Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.4421823Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.4439972Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.4457891Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4473828Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4490417Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.4498266Z   /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:28:55.4500016Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.4500990Z      94 |     struct array
2025-06-05T23:28:55.4501417Z         |            ^~~~~
2025-06-05T23:28:55.4502947Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:55.4504358Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.4505083Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.4513096Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.4532175Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.4551892Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4567949Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4583751Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.4590484Z   /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:28:55.4592088Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.4593014Z      94 |     struct array
2025-06-05T23:28:55.4593427Z         |            ^~~~~
2025-06-05T23:28:55.4594995Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:55.4596374Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.4597118Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.4606319Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.4625445Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.4644046Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4662011Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4680535Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.4684631Z   /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:28:55.4685848Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.4686761Z      94 |     struct array
2025-06-05T23:28:55.4687139Z         |            ^~~~~
2025-06-05T23:28:55.4688632Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:55.4690095Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.4690824Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.4699917Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.4707971Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:55.4708611Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:55.4709273Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:55.4710009Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:55.4710956Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:55.4712027Z                    from /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:11:
2025-06-05T23:28:55.4729374Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch:/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.4746880Z   :runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.4758474Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4776052Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.4787375Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4795989Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::floor_divide_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.4800059Z   /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:28:55.4800963Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.4801592Z      94 |     struct array
2025-06-05T23:28:55.4801827Z         |            ^~~~~
2025-06-05T23:28:55.4802693Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:55.4803476Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.4803859Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.4808204Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4816484Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4825047Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.4829529Z   /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:57:3:   required from here
2025-06-05T23:28:55.4830952Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.4831953Z      94 |     struct array
2025-06-05T23:28:55.4832381Z         |            ^~~~~
2025-06-05T23:28:55.4833900Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:55.4835446Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.4836163Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.4845583Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.4864766Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.4884433Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4892206Z   [ 29%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_ge.cpp.o
2025-06-05T23:28:55.4893911Z   [ 29%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_gather.cpp.o
2025-06-05T23:28:55.4903819Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4920699Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.4928489Z   /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:57:3:   required from here
2025-06-05T23:28:55.4930347Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.4931351Z      94 |     struct array
2025-06-05T23:28:55.4931769Z         |            ^~~~~
2025-06-05T23:28:55.4933389Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:55.4934775Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.4935459Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.4944378Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.4963529Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.4980956Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.4996770Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.5013679Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.5021618Z   /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:57:3:   required from here
2025-06-05T23:28:55.5023365Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.5024368Z      94 |     struct array
2025-06-05T23:28:55.5024810Z         |            ^~~~~
2025-06-05T23:28:55.5026341Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:55.5027776Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.5028480Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.5038102Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.5058221Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.5077464Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.5094130Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.5110851Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::fmod_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.5118889Z   /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:57:3:   required from here
2025-06-05T23:28:55.5120599Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.5121619Z      94 |     struct array
2025-06-05T23:28:55.5122054Z         |            ^~~~~
2025-06-05T23:28:55.5123628Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:55.5125076Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.5125779Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.5133497Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.5150565Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.5166924Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.5181271Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.5195759Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.5202713Z   /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:135:3:   required from here
2025-06-05T23:28:55.5204335Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.5205440Z      94 |     struct array
2025-06-05T23:28:55.5205864Z         |            ^~~~~
2025-06-05T23:28:55.5207556Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:55.5209021Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.5209738Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.5218191Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.5236329Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.5253759Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.5268135Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.5282727Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.5289685Z   /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:135:3:   required from here
2025-06-05T23:28:55.5291209Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.5292201Z      94 |     struct array
2025-06-05T23:28:55.5292609Z         |            ^~~~~
2025-06-05T23:28:55.5294245Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:55.5295666Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.5296370Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.5304096Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.5321698Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.5337782Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.5350459Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.5364889Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.5371922Z   /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:135:3:   required from here
2025-06-05T23:28:55.5373632Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.5374668Z      94 |     struct array
2025-06-05T23:28:55.5375089Z         |            ^~~~~
2025-06-05T23:28:55.5376672Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:55.5378139Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.5378849Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.5387041Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.5405003Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.5422249Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.5436749Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.5451434Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::fmod_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.5458606Z   /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:135:3:   required from here
2025-06-05T23:28:55.5460327Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.5461316Z      94 |     struct array
2025-06-05T23:28:55.5461744Z         |            ^~~~~
2025-06-05T23:28:55.5463308Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:55.5464785Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.5465588Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.5466666Z   [ 29%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_gelu.cpp.o
2025-06-05T23:28:55.5468399Z   [ 30%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-transpose.c.o
2025-06-05T23:28:55.5470226Z   [ 30%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/unpooling-2d.c.o
2025-06-05T23:28:55.6462053Z   [ 30%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f.c.o
2025-06-05T23:28:55.6463908Z   [ 30%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_glu.cpp.o
2025-06-05T23:28:55.6465437Z   [ 30%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/unary.c.o
2025-06-05T23:28:55.6467006Z   [ 30%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_gt.cpp.o
2025-06-05T23:28:55.6468570Z   [ 30%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/validation.c.o
2025-06-05T23:28:55.6470674Z   [ 30%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar-acc2.c.o
2025-06-05T23:28:55.6472297Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:55.6472966Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:55.6473705Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:55.6474421Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:55.6475340Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:55.6476555Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:11,
2025-06-05T23:28:55.6477685Z                    from /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:9:
2025-06-05T23:28:55.6485198Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::greater_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.6501480Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::greater_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.6516963Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::greater_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.6533011Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.6545733Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<unsigned char>]’
2025-06-05T23:28:55.6555594Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.6577549Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.6579380Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.6580448Z      94 |     struct array
2025-06-05T23:28:55.6581045Z         |            ^~~~~
2025-06-05T23:28:55.6582864Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:55.6584463Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.6585233Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.6592440Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.6608970Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.6624736Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.6637327Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.6650153Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<unsigned char>]’
2025-06-05T23:28:55.6660091Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.6664182Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.6665961Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.6666925Z      94 |     struct array
2025-06-05T23:28:55.6667375Z         |            ^~~~~
2025-06-05T23:28:55.6669067Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:55.6670626Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.6671331Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.6678151Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::greater_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.6693832Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::greater_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.6708561Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::greater_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.6720793Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.6733620Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<signed char>]’
2025-06-05T23:28:55.6743220Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.6746735Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.6748244Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.6749136Z      94 |     struct array
2025-06-05T23:28:55.6749512Z         |            ^~~~~
2025-06-05T23:28:55.6750927Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:55.6752223Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.6752817Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.6759249Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.6778278Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.6796645Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.6808902Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.6817041Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<signed char>]’
2025-06-05T23:28:55.6824676Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.6827983Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.6829533Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.6830272Z      94 |     struct array
2025-06-05T23:28:55.6830565Z         |            ^~~~~
2025-06-05T23:28:55.6831531Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:55.6832466Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.6833039Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.6837440Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::greater_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.6846872Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::greater_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.6856247Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::greater_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.6866882Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.6878576Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<short int>]’
2025-06-05T23:28:55.6887853Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.6891577Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.6893313Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.6894283Z      94 |     struct array
2025-06-05T23:28:55.6894661Z         |            ^~~~~
2025-06-05T23:28:55.6896114Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:55.6897594Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.6898263Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.6905183Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.6921723Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.6937078Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.6948982Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.6960801Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<short int>]’
2025-06-05T23:28:55.6969854Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.6973683Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.6975301Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.6976265Z      94 |     struct array
2025-06-05T23:28:55.6976671Z         |            ^~~~~
2025-06-05T23:28:55.6978281Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:55.6979737Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.6980420Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.6986706Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::greater_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.7001068Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::greater_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.7014731Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::greater_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7026180Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7040233Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<int>]’
2025-06-05T23:28:55.7049478Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.7053639Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.7055230Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.7056142Z      94 |     struct array
2025-06-05T23:28:55.7056555Z         |            ^~~~~
2025-06-05T23:28:55.7057912Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:55.7059233Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.7059910Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.7066836Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.7082284Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.7098518Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7111706Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7123571Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<int>]’
2025-06-05T23:28:55.7133142Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.7136908Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.7138534Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.7139505Z      94 |     struct array
2025-06-05T23:28:55.7139926Z         |            ^~~~~
2025-06-05T23:28:55.7141352Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:55.7142767Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.7143413Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.7149859Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::greater_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.7164285Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::greater_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.7178133Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::greater_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7189912Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7201705Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<long int>]’
2025-06-05T23:28:55.7210194Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.7213971Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.7215637Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.7216644Z      94 |     struct array
2025-06-05T23:28:55.7217066Z         |            ^~~~~
2025-06-05T23:28:55.7218702Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:55.7220024Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.7220691Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.7227728Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.7243279Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.7257990Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7270233Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7282475Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<long int>]’
2025-06-05T23:28:55.7289752Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.7292388Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.7293612Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.7294224Z      94 |     struct array
2025-06-05T23:28:55.7294479Z         |            ^~~~~
2025-06-05T23:28:55.7295546Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:55.7296606Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.7297215Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.7301034Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::greater_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.7309409Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::greater_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.7318151Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::greater_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7327715Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7340927Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<float>]’
2025-06-05T23:28:55.7347217Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.7349820Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.7350811Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.7351525Z      94 |     struct array
2025-06-05T23:28:55.7351849Z         |            ^~~~~
2025-06-05T23:28:55.7352762Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:55.7353832Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.7354293Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.7358127Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.7367617Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.7376147Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7383410Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7393238Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<float>]’
2025-06-05T23:28:55.7399376Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.7402151Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.7403185Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.7403727Z      94 |     struct array
2025-06-05T23:28:55.7403981Z         |            ^~~~~
2025-06-05T23:28:55.7404798Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:55.7405568Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.7405966Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.7409965Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::greater_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.7418812Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::greater_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.7426822Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::greater_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7434346Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7442052Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<double>]’
2025-06-05T23:28:55.7448139Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.7450570Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.7451722Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.7452277Z      94 |     struct array
2025-06-05T23:28:55.7452515Z         |            ^~~~~
2025-06-05T23:28:55.7453700Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:55.7454854Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.7455481Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.7459800Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.7468996Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.7477794Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7484939Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7492060Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<double>]’
2025-06-05T23:28:55.7498710Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.7501121Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.7502415Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.7503057Z      94 |     struct array
2025-06-05T23:28:55.7503312Z         |            ^~~~~
2025-06-05T23:28:55.7504311Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:55.7505103Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.7505507Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.7509328Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::greater_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.7517759Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::greater_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.7526924Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::greater_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7534188Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7541502Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<bool>]’
2025-06-05T23:28:55.7546864Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.7549393Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.7550396Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.7550949Z      94 |     struct array
2025-06-05T23:28:55.7551208Z         |            ^~~~~
2025-06-05T23:28:55.7552074Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:55.7553047Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.7553450Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.7557580Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.7568176Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.7577543Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7586569Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7594302Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater_equal<bool>]’
2025-06-05T23:28:55.7600000Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.7602473Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:28:55.7603593Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.7604225Z      94 |     struct array
2025-06-05T23:28:55.7604580Z         |            ^~~~~
2025-06-05T23:28:55.7605507Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:55.7606428Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.7606891Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.7612172Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.7623527Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.7633655Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7642455Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7651306Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.7658102Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.7660522Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.7661745Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.7662508Z      94 |     struct array
2025-06-05T23:28:55.7662823Z         |            ^~~~~
2025-06-05T23:28:55.7663754Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:55.7664596Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.7665083Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.7671863Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.7684199Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.7696208Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7702030Z   [ 30%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_hardtanh.cpp.o
2025-06-05T23:28:55.7709542Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7721601Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.7736742Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.7740574Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.7742256Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.7743301Z      94 |     struct array
2025-06-05T23:28:55.7743720Z         |            ^~~~~
2025-06-05T23:28:55.7745420Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:55.7746904Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.7747590Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.7756053Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.7774586Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.7791952Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7807097Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7822726Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.7834267Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.7838211Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.7839947Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.7840992Z      94 |     struct array
2025-06-05T23:28:55.7841530Z         |            ^~~~~
2025-06-05T23:28:55.7843076Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:55.7844536Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.7845173Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.7854404Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.7873482Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.7891948Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7907248Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7919610Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.7927672Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.7930788Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.7932010Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.7932730Z      94 |     struct array
2025-06-05T23:28:55.7933119Z         |            ^~~~~
2025-06-05T23:28:55.7934506Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:55.7936594Z   [ 32%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_index.cpp.o
2025-06-05T23:28:55.7937725Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.7938287Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.7944432Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.7957657Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.7969976Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7979838Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.7992693Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.8003554Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.8007615Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.8009308Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.8010118Z      94 |     struct array
2025-06-05T23:28:55.8010354Z         |            ^~~~~
2025-06-05T23:28:55.8011412Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:55.8012207Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.8012612Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.8017687Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.8028192Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.8038439Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8046928Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8055405Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.8061607Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.8063693Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.8064584Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.8065163Z      94 |     struct array
2025-06-05T23:28:55.8065588Z         |            ^~~~~
2025-06-05T23:28:55.8067225Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:55.8068041Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.8068445Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.8072895Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.8084270Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.8094983Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8103727Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8113780Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.8124274Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.8127801Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.8129537Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.8130451Z      94 |     struct array
2025-06-05T23:28:55.8130851Z         |            ^~~~~
2025-06-05T23:28:55.8132211Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:55.8133613Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.8134306Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.8142831Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.8157157Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.8174667Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8190007Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8205394Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.8216542Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.8220586Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.8222286Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.8223308Z      94 |     struct array
2025-06-05T23:28:55.8223730Z         |            ^~~~~
2025-06-05T23:28:55.8225140Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:55.8226496Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.8227264Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.8235449Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.8253246Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.8270640Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8285461Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8299798Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.8306211Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.8308319Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.8309365Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.8310354Z      94 |     struct array
2025-06-05T23:28:55.8310727Z         |            ^~~~~
2025-06-05T23:28:55.8312210Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:55.8313506Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.8313954Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.8319431Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.8331577Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.8342567Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8352248Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8363600Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.8370979Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.8373892Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.8375120Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.8375767Z      94 |     struct array
2025-06-05T23:28:55.8376005Z         |            ^~~~~
2025-06-05T23:28:55.8377044Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:55.8378133Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.8378598Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.8383809Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.8395049Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.8406282Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8415447Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8430000Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.8440326Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.8444174Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.8445714Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.8446654Z      94 |     struct array
2025-06-05T23:28:55.8447217Z         |            ^~~~~
2025-06-05T23:28:55.8448665Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:55.8450002Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.8450820Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.8459334Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.8466809Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:55.8467477Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:55.8479621Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.8498744Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8514056Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8529723Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.8540858Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.8544743Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.8546415Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.8547407Z      94 |     struct array
2025-06-05T23:28:55.8547803Z         |            ^~~~~
2025-06-05T23:28:55.8549370Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:55.8550735Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.8551420Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.8559961Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.8576385Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runti                 from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:55.8584860Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:55.8585854Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:55.8586991Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:55.8589626Z   me::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.8600922Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.8610771Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8621093Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.8631357Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8641465Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8650978Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.8662257Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8669225Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.8677179Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tenso/pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.8682252Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.8682794Z      94 |     struct array
2025-06-05T23:28:55.8683045Z         |            ^~~~~
2025-06-05T23:28:55.8683946Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:55.8684759Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.8685179Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.8685599Z   r; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:55.8687767Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:55.8689621Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:55.8690480Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.8691028Z      94 |     struct array
2025-06-05T23:28:55.8691264Z         |            ^~~~~
2025-06-05T23:28:55.8692072Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:55.8692909Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.8693389Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.8698621Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.8709929Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.8721882Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8734888Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8759472Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tenso/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.8775631Z   r; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:55.8779813Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:55.8783464Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:55.8785198Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.8786232Z      94 |     struct array
2025-06-05T23:28:55.8786637Z         |            ^~~~~
2025-06-05T23:28:55.8788153Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:55.8789550Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.8799748Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, co      |                                                        ^~~~~~~~
2025-06-05T23:28:55.8810468Z   nst executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.8822298Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.8838456Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8858264Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.8877898Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8893446Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8908811Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.8919866Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.8923878Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.8925537Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.8926543Z      94 |     struct array
2025-06-05T23:28:55.8926970Z         |            ^~~~~
2025-06-05T23:28:55.8928467Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:55.8939385Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.8947887Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.8948588Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.8958807Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:55.8975965Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.8986322Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:55.8998802Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::/pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:55.9007839Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.9008862Z      94 |     struct array
2025-06-05T23:28:55.9009300Z         |            ^~~~~
2025-06-05T23:28:55.9011674Z   etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.9015368Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:55.9016962Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.9017740Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.9027816Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.9043634Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9062302Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.9078340Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9095144Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9112084Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9129517Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:55.9141419Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:55.9144885Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:55.9146499Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.9147433Z      94 |     struct array
2025-06-05T23:28:55.9147855Z         |            ^~~~~
2025-06-05T23:28:55.9149469Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:55.9150843Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.9151539Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.9160107Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.9177194Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.9191123Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9196861Z   [ 32%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar-acc2.c.o
2025-06-05T23:28:55.9209802Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.9220386Z   runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9227750Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:55.9236547Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:55.9238569Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:55.9239604Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.9240150Z      94 |     struct array
2025-06-05T23:28:55.9240425Z         |            ^~~~~
2025-06-05T23:28:55.9240927Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:55.9241687Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:55.9242401Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:55.9243013Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:55.9245698Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.9247874Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:55.9248636Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.9249248Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:55.9250113Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.9250704Z      94 |     struct array
2025-06-05T23:28:55.9250960Z         |            ^~~~~
2025-06-05T23:28:55.9252132Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:55.9253238Z     384 |   unsigned short x;
2025-06-05T23:28:55.9253507Z         |                  ^
2025-06-05T23:28:55.9254328Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:55.9255111Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:55.9255470Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:55.9255884Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.9256391Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:55.9256781Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.9257168Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:55.9257756Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:55.9258370Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:55.9263518Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.9273414Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.9301018Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, cons/pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.9321250Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9327058Z   t executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.9333315Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9346089Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9360680Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:55.9371410Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.9375494Z   /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:28:55.9377204Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:55.9378199Z      94 |     struct array
2025-06-05T23:28:55.9378619Z         |            ^~~~~
2025-06-05T23:28:55.9380094Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:55.9381500Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.9382204Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.9392153Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9410260Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:55.9422745Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:55.9426309Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:55.9427988Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.9429195Z      94 |     struct array
2025-06-05T23:28:55.9429606Z         |            ^~~~~
2025-06-05T23:28:55.9430437Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:55.9431901Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:55.9433144Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:55.9434301Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:55.9435544Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:55.9436705Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:55.9439224Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:55.9440989Z     384 |   unsigned short x;
2025-06-05T23:28:55.9441442Z         |                  ^
2025-06-05T23:28:55.9441950Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:55.9442620Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:55.9443323Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:55.9444055Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:55.9445016Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:55.9446161Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:55.9455843Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.9476204Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.9495742Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9511532Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9530029Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:55.9542225Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:55.9545881Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:55.9547590Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.9548646Z      94 |     struct array
2025-06-05T23:28:55.9549138Z         |            ^~~~~
2025-06-05T23:28:55.9550018Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:55.9551312Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:55.9552486Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:55.9553790Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:55.9554963Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:55.9557439Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:55.9559172Z      84 |   uint16_t x;
2025-06-05T23:28:55.9559558Z         |            ^
2025-06-05T23:28:55.9560067Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:55.9560722Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:55.9561438Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:55.9562163Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:55.9563148Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:55.9564300Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:55.9574550Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.9596010Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.9616475Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9625208Z   [ 32%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_index_put.cpp.o
2025-06-05T23:28:55.9626791Z   [ 32%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/subgraph.dir/src/tensor.c.o
2025-06-05T23:28:55.9637139Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorIn file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:55.9645486Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:55.9646210Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:55.9646935Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:55.9647850Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:55.9649120Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:11,
2025-06-05T23:28:55.9650386Z                    from /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:9:
2025-06-05T23:28:55.9657523Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::greater<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.9662978Z   ch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9672478Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:55.9691225Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::greater<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.9705990Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::greater<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9718407Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9730879Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<unsigned char>]’
2025-06-05T23:28:55.9740495Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.9744469Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:55.9746171Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.9747253Z      94 |     struct array
2025-06-05T23:28:55.9747666Z         |            ^~~~~
2025-06-05T23:28:55.9749360Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:55.9750949Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.9751660Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.9759090Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.9775697Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.9791470Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9804192Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9816852Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<unsigned char>]’
2025-06-05T23:28:55.9826602Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.9830826Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:55.9832569Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.9833653Z      94 |     struct array
2025-06-05T23:28:55.9834078Z         |            ^~~~~
2025-06-05T23:28:55.9835763Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:55.9837368Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.9838173Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.9845244Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::greater<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:55.9860681Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::greater<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:55.9875264Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::greater<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9887383Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9900141Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<signed char>]’
2025-06-05T23:28:55.9909755Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:55.9913790Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:55.9915493Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.9916555Z      94 |     struct array
2025-06-05T23:28:55.9916987Z         |            ^~~~~
2025-06-05T23:28:55.9918614Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:55.9920148Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:55.9920850Z         |                                                        ^~~~~~~~
2025-06-05T23:28:55.9928188Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:55.9944669Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:55.9960191Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9969167Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:55.9972532Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:55.9974355Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:55.9975424Z      94 |     struct array
2025-06-05T23:28:55.9975850Z         |            ^~~~~
2025-06-05T23:28:55.9976719Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:55.9978031Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:55.9985763Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:55.9992208Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:55.9993507Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:55.9994676Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:55.9997106Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:55.9998806Z      84 |   uint16_t x;
2025-06-05T23:28:55.9999208Z         |            ^
2025-06-05T23:28:55.9999683Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.0006708Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<signed char>]’
2025-06-05T23:28:56.0012601Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.0013403Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.0014082Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.0015087Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.0016156Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.0020850Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.0024867Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:56.0026564Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.0027619Z      94 |     struct array
2025-06-05T23:28:56.0028049Z         |            ^~~~~
2025-06-05T23:28:56.0029654Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:56.0039390Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.0059198Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.0070153Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.0070855Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.0079814Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0092463Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::greater<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.0107524Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0125734Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::greater<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.0144413Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.0158793Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::greater<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0167101Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.0170649Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.0172252Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.0173334Z      94 |     struct array
2025-06-05T23:28:56.0173767Z         |            ^~~~~
2025-06-05T23:28:56.0181038Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0193886Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<short int>]’
2025-06-05T23:28:56.0200920Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.0202485Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.0207223Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.0211136Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.0212142Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:56.0213905Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.0214969Z      94 |     struct array
2025-06-05T23:28:56.0236704Z         |            ^~~~~
2025-06-05T23:28:56.0237798Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:56.0238602Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.0239007Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.0247488Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtyp/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.0254937Z   es>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.0264978Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::execu/pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tetor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.0274969Z   nsor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.0280028Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0286649Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0297387Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<short int>]’
2025-06-05T23:28:56.0303211Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.0305554Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:56.0306477Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.0307028Z      94 |     struct array
2025-06-05T23:28:56.0307283Z         |            ^~~~~
2025-06-05T23:28:56.0308141Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:56.0308931Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.0309329Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.0312767Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::greater<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.0326130Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::greater<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.0339424Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::greater<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0347013Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0353375Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<int>]’
2025-06-05T23:28:56.0358220Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.0361467Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:56.0363023Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.0363921Z      94 |     struct array
2025-06-05T23:28:56.0364312Z         |            ^~~~~
2025-06-05T23:28:56.0365243Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:56.0365987Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.0366499Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.0370374Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.0381696Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.0395265Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0403609Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0414993Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0431730Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0449607Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.0461325Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.0464680Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.0466237Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.0467231Z      94 |     struct array
2025-06-05T23:28:56.0467639Z         |            ^~~~~
2025-06-05T23:28:56.0469321Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.0470759Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.0471353Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.0479866Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.0494415Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.0507628Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0519086Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0532797Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.0543706Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.0546690Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.0548184Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.0549009Z      94 |     struct array
2025-06-05T23:28:56.0549337Z         |            ^~~~~
2025-06-05T23:28:56.0550492Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.0551573Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.0552107Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.0557224Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<int>]’
2025-06-05T23:28:56.0567928Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.0576643Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.0579469Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:56.0580697Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.0581401Z      94 |     struct array
2025-06-05T23:28:56.0581701Z         |            ^~~~~
2025-06-05T23:28:56.0582893Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:56.0590287Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const T  110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.0597385Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.0600594Z   ensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.0608817Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::greater<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.0620219Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0634262Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0649027Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.0660363Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::greater<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.0666867Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.0668789Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.0669691Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.0670251Z      94 |     struct array
2025-06-05T23:28:56.0670487Z         |            ^~~~~
2025-06-05T23:28:56.0671376Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.0672147Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.0675437Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::greater<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0678082Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.0683003Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.0695170Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTY/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0703591Z   PE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.0708492Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<long int>]’
2025-06-05T23:28:56.0713821Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.0715878Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:56.0720606Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0724713Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.0725268Z      94 |     struct array
2025-06-05T23:28:56.0725502Z         |            ^~~~~
2025-06-05T23:28:56.0726351Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:56.0727187Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.0732874Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch:      |                                                        ^~~~~~~~
2025-06-05T23:28:56.0737423Z   :runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0741365Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.0749419Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.0756074Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.0758121Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.0759246Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.0760060Z      94 |     struct array
2025-06-05T23:28:56.0760438Z         |            ^~~~~
2025-06-05T23:28:56.0761066Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.0761890Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.0762620Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.0768861Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.0778082Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0781636Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.0785622Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0789368Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.0790010Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.0791433Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.0792347Z     384 |   unsigned short x;
2025-06-05T23:28:56.0792761Z         |                  ^
2025-06-05T23:28:56.0793229Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.0793674Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.0794163Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.0797817Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<long int>]’
2025-06-05T23:28:56.0801268Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.0801870Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.0802494Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.0805321Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.0807726Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:56.0808994Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.0809622Z      94 |     struct array
2025-06-05T23:28:56.0809856Z         |            ^~~~~
2025-06-05T23:28:56.0811030Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:56.0812040Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.0812443Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.0819100Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.0828814Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::greater<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.0842699Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, cons/pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::greater<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.0853951Z   t Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.0861416Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0868902Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::greater<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0876502Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0889167Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<float>]’
2025-06-05T23:28:56.0898913Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.0903071Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:56.0904679Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.0905659Z      94 |     struct array
2025-06-05T23:28:56.0906077Z         |            ^~~~~
2025-06-05T23:28:56.0907623Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.0909034Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.0909754Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.0917006Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.0942122Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::nat/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch:ive::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.0958512Z   :runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0965469Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0978252Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.0990690Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<float>]’
2025-06-05T23:28:56.1000112Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.1004004Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:56.1014111Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.1023869Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.1028091Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.1031811Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.1032711Z      94 |     struct array
2025-06-05T23:28:56.1033159Z         |            ^~~~~
2025-06-05T23:28:56.1034347Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.1035345Z      94 |     struct array
2025-06-05T23:28:56.1035778Z         |            ^~~~~
2025-06-05T23:28:56.1037319Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.1038999Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.1040097Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.1041150Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.1042093Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.1042985Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.1044268Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.1045600Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.1046763Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.1049232Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.1050918Z     384 |   unsigned short x;
2025-06-05T23:28:56.1057588Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::greater<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.1063103Z         |                  ^
2025-06-05T23:28:56.1063639Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.1064291Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.1065005Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.1065709Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.1066673Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.1067815Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.1078122Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::greater<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.1095651Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.1109521Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::greater<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1121550Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1142094Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<double>]’
2025-06-05T23:28:56.1159282Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.1163241Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:56.1164906Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.1166071Z      94 |     struct array
2025-06-05T23:28:56.1166496Z         |            ^~~~~
2025-06-05T23:28:56.1169797Z   with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.1174293Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.1175746Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.1176532Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.1185389Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1200353Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.1216006Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1233819Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.1252584Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.1264955Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.1268441Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.1275555Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1281923Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.1283006Z      94 |     struct array
2025-06-05T23:28:56.1283418Z         |            ^~~~~
2025-06-05T23:28:56.1284308Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.1285589Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.1286839Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.1288599Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.1296705Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1302969Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.1305488Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.1307146Z      84 |   uint16_t x;
2025-06-05T23:28:56.1307533Z         |            ^
2025-06-05T23:28:56.1308017Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.1308644Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.1315400Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<double>]’
2025-06-05T23:28:56.1321229Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.1321950Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.1322921Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.1324030Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.1328871Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.1332766Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:56.1334528Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.1335557Z      94 |     struct array
2025-06-05T23:28:56.1335964Z         |            ^~~~~
2025-06-05T23:28:56.1337505Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.1338947Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.1339667Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.1346545Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::greater<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.1369927Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedT/pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::greater<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtimensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.1386075Z   e::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.1392676Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::greater<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1410135Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.1429082Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1439943Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1454574Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executo/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<bool>]’
2025-06-05T23:28:56.1464128Z   rch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1465463Z   [ 32%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx.c.o
2025-06-05T23:28:56.1469226Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.1472017Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:56.1473171Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.1473876Z      94 |     struct array
2025-06-05T23:28:56.1474178Z         |            ^~~~~
2025-06-05T23:28:56.1475231Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:56.1476306Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.1476819Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.1482516Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.1490596Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.1497045Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.1503455Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::nativ/pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.1508325Z   e::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.1509541Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.1510140Z      94 |     struct array
2025-06-05T23:28:56.1510379Z         |            ^~~~~
2025-06-05T23:28:56.1510859Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.1511558Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.1515174Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::greater<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1518388Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.1519077Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.1519706Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.1523562Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::greater<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1530178Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::greater<bool>]’
2025-06-05T23:28:56.1535178Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.1537939Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.1538834Z      84 |   uint16_t x;
2025-06-05T23:28:56.1539072Z         |            ^
2025-06-05T23:28:56.1539348Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.1539716Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.1540099Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.1540544Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.1541079Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.1541679Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.1546600Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.1556982Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.1568026Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1571945Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:28:56.1572839Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.1573528Z      94 |     struct array
2025-06-05T23:28:56.1573918Z         |            ^~~~~
2025-06-05T23:28:56.1575301Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:56.1576651Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.1577408Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.1585643Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.1596236Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.1603401Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1608870Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1613977Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.1622752Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::r/pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.1623298Z   untime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1623656Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.1624286Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.1624377Z      94 |     struct array
2025-06-05T23:28:56.1624472Z         |            ^~~~~
2025-06-05T23:28:56.1625641Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:56.1625905Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.1626063Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.1634250Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.1640186Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.1642622Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.1643016Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.1643710Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.1643803Z      94 |     struct array
2025-06-05T23:28:56.1643884Z         |            ^~~~~
2025-06-05T23:28:56.1644636Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.1644836Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.1644957Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.1652903Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.1653828Z   [ 32%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_index_select.cpp.o
2025-06-05T23:28:56.1668737Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorD/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1675152Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1675560Z   types>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.1686453Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Te/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.1689188Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.1689508Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.1690066Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.1690156Z      94 |     struct array
2025-06-05T23:28:56.1690253Z         |            ^~~~~
2025-06-05T23:28:56.1692286Z   nsor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.1698020Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1698933Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:56.1699114Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.1699226Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.1705088Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.1706119Z   [ 32%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3.c.o
2025-06-05T23:28:56.1714889Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1720341Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.1722435Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.1722776Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.1723267Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.1723359Z      94 |     struct array
2025-06-05T23:28:56.1723442Z         |            ^~~~~
2025-06-05T23:28:56.1724420Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.1724658Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.1724785Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.1732112Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.1738067Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.1742547Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1748399Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1755612Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.1762120Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.1766268Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.1766865Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.1767728Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.1767892Z      94 |     struct array
2025-06-05T23:28:56.1775841Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1788309Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1795724Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.1798001Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.1798551Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.1798692Z         |            ^~~~~
2025-06-05T23:28:56.1799564Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.1799708Z      94 |     struct array
2025-06-05T23:28:56.1799829Z         |            ^~~~~
2025-06-05T23:28:56.1801024Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.1802325Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:56.1802631Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.1802941Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.1803118Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.1803288Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.1818553Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTenso/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.1819351Z   rDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.1839575Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext/pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const T&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.1847985Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1856993Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1865199Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.1869367Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.1869877Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.1870841Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.1870979Z      94 |     struct array
2025-06-05T23:28:56.1871096Z         |            ^~~~~
2025-06-05T23:28:56.1872345Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:56.1872655Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.1872835Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.1880380Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.1890899Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.1897876Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1903530Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1908353Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.1910913Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.1911200Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.1911722Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.1911816Z      94 |     struct array
2025-06-05T23:28:56.1911900Z         |            ^~~~~
2025-06-05T23:28:56.1912732Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:56.1912967Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.1913074Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.1917883Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.1918016Z   [ 32%] Built target subgraph
2025-06-05T23:28:56.1927435Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&,ensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.1936519Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1945501Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.1954645Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.1958242Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.1958838Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.1959700Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.1959876Z      94 |     struct array
2025-06-05T23:28:56.1960016Z         |            ^~~~~
2025-06-05T23:28:56.1961272Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.1961562Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.1961735Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.1969967Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.1981925Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.1984499Z    const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.1985670Z   [ 32%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse.c.o
2025-06-05T23:28:56.1993855Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2001712Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2011674Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2021423Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.2025057Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.2025578Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.2026457Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.2026600Z      94 |     struct array
2025-06-05T23:28:56.2026736Z         |            ^~~~~
2025-06-05T23:28:56.2027301Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.2027813Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.2028286Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.2028944Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.2029545Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.2030021Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.2031943Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.2032106Z     384 |   unsigned short x;
2025-06-05T23:28:56.2032249Z         |                  ^
2025-06-05T23:28:56.2032490Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.2032713Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.2032998Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.2033192Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.2033776Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.2034120Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.2044067Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.2057035Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.2065220Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2074401Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2084600Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2093102Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.2097197Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.2097776Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.2098740Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.2098896Z      94 |     struct array
2025-06-05T23:28:56.2099041Z         |            ^~~~~
2025-06-05T23:28:56.2100409Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:56.2100724Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.2100913Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.2109285Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.2126423Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.2139947Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.2143914Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.2145671Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.2146876Z      94 |     struct array
2025-06-05T23:28:56.2147458Z         |            ^~~~~
2025-06-05T23:28:56.2148367Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.2149736Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.2151176Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.2163960Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.2174549Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.2175850Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.2177043Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.2179620Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.2181415Z     384 |   unsigned short x;
2025-06-05T23:28:56.2181875Z         |                  ^
2025-06-05T23:28:56.2182398Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.2183055Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.2191161Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2197887Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.2198613Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.2199606Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.2200746Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.2219079Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2243041Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.2254407Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.2258361Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.2259937Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.2260924Z      94 |     struct array
2025-06-05T23:28:56.2261344Z         |            ^~~~~
2025-06-05T23:28:56.2262851Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:56.2264286Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.2264967Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.2273766Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.2293051Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.2312343Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2319492Z   long int; auto:4 = long int]’:
2025-06-05T23:28:56.2328734Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2349312Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.2368463Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.2379791Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.2383821Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.2385421Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.2386412Z      94 |     struct array
2025-06-05T23:28:56.2386827Z         |            ^~~~~
2025-06-05T23:28:56.2388339Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:56.2389789Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.2390499Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.2398877Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.2414561Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2431754Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2451623Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.2469500Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2484790Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2500772Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.2511835Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.2515844Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.2517536Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.2518555Z      94 |     struct array
2025-06-05T23:28:56.2519000Z         |            ^~~~~
2025-06-05T23:28:56.2520623Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:56.2522189Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.2522918Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.2532089Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.2549455Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.2561732Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.2565213Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.2566894Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.2567945Z      94 |     struct array
2025-06-05T23:28:56.2568356Z         |            ^~~~~
2025-06-05T23:28:56.2569230Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.2570508Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.2571622Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.2584863Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.2603287Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2619162Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2633997Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.2645066Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.2649152Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.2650830Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.2651829Z      94 |     struct array
2025-06-05T23:28:56.2652245Z         |            ^~~~~
2025-06-05T23:28:56.2653876Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:56.2655367Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.2656081Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.2657088Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.2658348Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.2666869Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.2685221Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.2701817Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2716844Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2733027Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.2744365Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.2748394Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.2749943Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.2750960Z      94 |     struct array
2025-06-05T23:28:56.2751385Z         |            ^~~~~
2025-06-05T23:28:56.2752945Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:56.2754389Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.2755091Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.2763863Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.2783525Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.2802282Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2817829Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2831896Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.2841835Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.2845486Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.2847009Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.2847924Z      94 |     struct array
2025-06-05T23:28:56.2848336Z         |            ^~~~~
2025-06-05T23:28:56.2849744Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:56.2851032Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.2851706Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.2860256Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.2881029Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.2901498Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2918726Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.2937561Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.2950407Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.2955048Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.2956942Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.2958123Z      94 |     struct array
2025-06-05T23:28:56.2958620Z         |            ^~~~~
2025-06-05T23:28:56.2960418Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:56.2962229Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.2963048Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.2973751Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.2993284Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.3002991Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3011037Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3015906Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.3016825Z      84 |   uint16_t x;
2025-06-05T23:28:56.3017048Z         |            ^
2025-06-05T23:28:56.3017343Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.3017742Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.3018143Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.3018533Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.3019066Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.3019686Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.3024297Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.3030777Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.3034421Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.3036000Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.3037012Z      94 |     struct array
2025-06-05T23:28:56.3037434Z         |            ^~~~~
2025-06-05T23:28:56.3038984Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:56.3040446Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.3050930Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.3071090Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.3089411Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3102632Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3108884Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.3116281Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.3125100Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.3127688Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.3135160Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.3142941Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.3143968Z      94 |     struct array
2025-06-05T23:28:56.3144341Z         |            ^~~~~
2025-06-05T23:28:56.3144862Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.3145608Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.3146239Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.3146909Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.3147537Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.3148974Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.3149878Z      84 |   uint16_t x;
2025-06-05T23:28:56.3154609Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::      |            ^
2025-06-05T23:28:56.3159974Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.3160349Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.3160735Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.3161202Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.3161729Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.3162344Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.3163876Z   etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.3169703Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3178576Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.3196923Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3213880Z   float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.3224856Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3238926Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.3246176Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.3250044Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.3251879Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.3252824Z      94 |     struct array
2025-06-05T23:28:56.3253296Z         |            ^~~~~
2025-06-05T23:28:56.3254790Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:56.3256079Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.3256763Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.3266629Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3284323Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.3295993Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.3299469Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.3301099Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.3302086Z      94 |     struct array
2025-06-05T23:28:56.3302507Z         |            ^~~~~
2025-06-05T23:28:56.3304023Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.3305402Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.3306109Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.3315666Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.3335516Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.3351165Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.3374560Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, cons/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3387624Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3393325Z   t executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.3398939Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3406996Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3416991Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.3424348Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::greater; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.3426785Z   /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:28:56.3428015Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.3428832Z      94 |     struct array
2025-06-05T23:28:56.3429077Z         |            ^~~~~
2025-06-05T23:28:56.3430010Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:56.3431100Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.3431506Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.3438020Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.3447661Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.3450007Z   [ 32%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_isinf.cpp.o
2025-06-05T23:28:56.3451122Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.3452208Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.3453068Z      94 |     struct array
2025-06-05T23:28:56.3453313Z         |            ^~~~~
2025-06-05T23:28:56.3454165Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.3454991Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.3455483Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.3460869Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.3472301Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.3483424Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3493570Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3504453Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.3511056Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.3512907Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.3513799Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.3514413Z      94 |     struct array
2025-06-05T23:28:56.3514650Z         |            ^~~~~
2025-06-05T23:28:56.3515485Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.3516264Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.3516650Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.3522156Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.3534981Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.3546425Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3556701Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3566962Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.3573736Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.3575603Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.3576497Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.3577049Z      94 |     struct array
2025-06-05T23:28:56.3577297Z         |            ^~~~~
2025-06-05T23:28:56.3578117Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.3578967Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.3579549Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.3580138Z   [ 32%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_isnan.cpp.o
2025-06-05T23:28:56.3585557Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.3596836Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.3608084Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3617479Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3627570Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.3634601Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.3636499Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.3637713Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.3638351Z      94 |     struct array
2025-06-05T23:28:56.3638590Z         |            ^~~~~
2025-06-05T23:28:56.3639058Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.3639773Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.3640427Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.3641042Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.3641709Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.3642338Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.3662530Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.3663543Z     384 |   unsigned short x;
2025-06-05T23:28:56.3663815Z         |                  ^
2025-06-05T23:28:56.3664124Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.3664483Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.3664969Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.3665357Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.3665884Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.3666480Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.3672431Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.3684621Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.3698736Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3710931Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3723714Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.3732463Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.3735347Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.3736432Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.3737369Z      94 |     struct array
2025-06-05T23:28:56.3737702Z         |            ^~~~~
2025-06-05T23:28:56.3738651Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.3740020Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.3741074Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.3742014Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.3743064Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.3744153Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.3746644Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.3748957Z     384 |   unsigned short x;
2025-06-05T23:28:56.3749529Z         |                  ^
2025-06-05T23:28:56.3750069Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.3750712Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.3751441Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.3752278Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.3753250Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.3754252Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.3763619Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.3783823Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.3802692Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3819267Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3837778Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.3850036Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.3853638Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.3855335Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.3856345Z      94 |     struct array
2025-06-05T23:28:56.3856761Z         |            ^~~~~
2025-06-05T23:28:56.3857658Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.3858924Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.3860056Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.3861284Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.3862461Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.3864837Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.3866544Z      84 |   uint16_t x;
2025-06-05T23:28:56.3866951Z         |            ^
2025-06-05T23:28:56.3867416Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.3868080Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.3868876Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.3869589Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.3870543Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.3871638Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.3881663Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.3902894Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.3922843Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3939980Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.3958062Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.3970178Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = float; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.3973757Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.3975450Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.3976504Z      94 |     struct array
2025-06-05T23:28:56.3976920Z         |            ^~~~~
2025-06-05T23:28:56.3977802Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.3979060Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.3980173Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.3981454Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.3982592Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.3985083Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.3986877Z      84 |   uint16_t x;
2025-06-05T23:28:56.3987259Z         |            ^
2025-06-05T23:28:56.3987726Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.3988362Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.3989065Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.3989783Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.3990737Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.3991905Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.4001282Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.4020961Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.4039642Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4056137Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4074549Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.4086420Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.4089906Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.4091538Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.4092576Z      94 |     struct array
2025-06-05T23:28:56.4093045Z         |            ^~~~~
2025-06-05T23:28:56.4094622Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.4096055Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.4096763Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.4105509Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.4126975Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.4147245Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4164508Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4182451Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.4194473Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.4197844Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.4199638Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.4200637Z      94 |     struct array
2025-06-05T23:28:56.4201057Z         |            ^~~~~
2025-06-05T23:28:56.4202554Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.4203964Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.4204685Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.4213971Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.4233458Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.4247105Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4256262Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4266286Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.4273271Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.4275339Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.4276286Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.4276909Z      94 |     struct array
2025-06-05T23:28:56.4277249Z         |            ^~~~~
2025-06-05T23:28:56.4278156Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.4279004Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.4279424Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.4285136Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.4297463Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.4309531Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4319837Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4331098Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.4337828Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.4341006Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.4342792Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.4343760Z      94 |     struct array
2025-06-05T23:28:56.4344381Z         |            ^~~~~
2025-06-05T23:28:56.4345901Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.4347321Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.4348004Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.4357155Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.4374992Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.4386059Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4395140Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4405138Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.4411839Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.4413861Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.4414853Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.4415416Z      94 |     struct array
2025-06-05T23:28:56.4415656Z         |            ^~~~~
2025-06-05T23:28:56.4416176Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.4417006Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.4417665Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.4418328Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.4419071Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.4419705Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.4420992Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.4422529Z     384 |   unsigned short x;
2025-06-05T23:28:56.4422928Z         |                  ^
2025-06-05T23:28:56.4423489Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.4424102Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.4424761Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.4425438Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.4426464Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.4427645Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.4435753Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.4447266Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.4459327Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4469480Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4484960Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.4495850Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.4498827Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.4500391Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.4501348Z      94 |     struct array
2025-06-05T23:28:56.4501748Z         |            ^~~~~
2025-06-05T23:28:56.4502499Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.4503695Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.4504733Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.4505682Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.4506732Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.4507708Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.4510183Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.4512026Z     384 |   unsigned short x;
2025-06-05T23:28:56.4512543Z         |                  ^
2025-06-05T23:28:56.4513113Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.4513863Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.4515175Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.4516191Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.4517226Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.4518424Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.4529969Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.4553133Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.4575325Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4594665Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4616736Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.4631404Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.4635504Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.4637478Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.4638699Z      94 |     struct array
2025-06-05T23:28:56.4639179Z         |            ^~~~~
2025-06-05T23:28:56.4640098Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.4641490Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.4642639Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.4643957Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.4645139Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.4646821Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.4647743Z      84 |   uint16_t x;
2025-06-05T23:28:56.4647959Z         |            ^
2025-06-05T23:28:56.4648235Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.4648587Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.4649055Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.4649440Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.4649969Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.4650584Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.4655968Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.4674391Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.4694311Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4706584Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4716017Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.4722330Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.4724167Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.4725073Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.4725632Z      94 |     struct array
2025-06-05T23:28:56.4725883Z         |            ^~~~~
2025-06-05T23:28:56.4726353Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.4727181Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.4728233Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.4729604Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.4730689Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.4732354Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.4733388Z      84 |   uint16_t x;
2025-06-05T23:28:56.4733626Z         |            ^
2025-06-05T23:28:56.4734003Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.4734378Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.4734764Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.4735165Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.4735742Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.4736360Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.4741302Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.4748988Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.4753495Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4758531Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4763597Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.4765438Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.4765729Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.4766212Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.4766330Z      94 |     struct array
2025-06-05T23:28:56.4766415Z         |            ^~~~~
2025-06-05T23:28:56.4767083Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.4767273Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.4767387Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.4772383Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.4779580Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.4784288Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4784657Z   [ 32%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_le.cpp.o
2025-06-05T23:28:56.4789603Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4794729Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.4796573Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.4796864Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.4797347Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.4797437Z      94 |     struct array
2025-06-05T23:28:56.4797533Z         |            ^~~~~
2025-06-05T23:28:56.4798193Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.4798377Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.4798527Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.4803181Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.4809561Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.4813991Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4818964Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4824087Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.4825910Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.4826188Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.4826671Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.4826774Z      94 |     struct array
2025-06-05T23:28:56.4826857Z         |            ^~~~~
2025-06-05T23:28:56.4827531Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.4827715Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.4827824Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.4835772Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.4845246Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.4852470Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4861595Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4871343Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.4875163Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.4875700Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.4876659Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.4876824Z      94 |     struct array
2025-06-05T23:28:56.4877033Z         |            ^~~~~
2025-06-05T23:28:56.4878258Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.4878567Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.4878765Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.4887647Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.4899841Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.4908523Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4918304Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4928515Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.4932463Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.4933178Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.4934686Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.4935031Z      94 |     struct array
2025-06-05T23:28:56.4935171Z         |            ^~~~~
2025-06-05T23:28:56.4935755Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.4936306Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.4936802Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.4937423Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.4938058Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.4938440Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.4940367Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.4940556Z     384 |   unsigned short x;
2025-06-05T23:28:56.4940710Z         |                  ^
2025-06-05T23:28:56.4941052Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.4941292Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.4941590Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.4941782Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.4942331Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.4942700Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.4952597Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.4965205Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.4974551Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4984070Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.4993103Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.4996356Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.4996803Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.4997677Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.4997802Z      94 |     struct array
2025-06-05T23:28:56.4997922Z         |            ^~~~~
2025-06-05T23:28:56.4998487Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.4999076Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.4999469Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.4999896Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.5000461Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.5000741Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.5001949Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.5002072Z     384 |   unsigned short x;
2025-06-05T23:28:56.5002154Z         |                  ^
2025-06-05T23:28:56.5002300Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.5002436Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.5002597Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.5002711Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.5003029Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.5003255Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.5008298Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.5015059Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.5019852Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5027947Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5037797Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.5041230Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5041739Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5042703Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5043002Z      94 |     struct array
2025-06-05T23:28:56.5043157Z         |            ^~~~~
2025-06-05T23:28:56.5043749Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.5044196Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.5044649Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.5045232Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.5045646Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.5047328Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.5047483Z      84 |   uint16_t x;
2025-06-05T23:28:56.5047620Z         |            ^
2025-06-05T23:28:56.5047848Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.5048073Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.5048342Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.5048519Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.5049070Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.5049414Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.5058144Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.5070783Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.5079094Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5087534Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5095269Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.5099035Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5099632Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5100622Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5100779Z      94 |     struct array
2025-06-05T23:28:56.5100915Z         |            ^~~~~
2025-06-05T23:28:56.5101512Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.5101979Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.5102512Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.5103065Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.5103312Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.5104415Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.5104529Z      84 |   uint16_t x;
2025-06-05T23:28:56.5104608Z         |            ^
2025-06-05T23:28:56.5104749Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.5104870Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.5105070Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.5105185Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.5105504Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.5105710Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.5111073Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4[ 32%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l4c1s1r-minmax-scalar-acc2.c.o
2025-06-05T23:28:56.5111285Z    = long int]’:
2025-06-05T23:28:56.5117612Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.5121989Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5126923Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5133631Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.5137509Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5138056Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5138974Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5139131Z      94 |     struct array
2025-06-05T23:28:56.5139275Z         |            ^~~~~
2025-06-05T23:28:56.5140538Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.5140767Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.5140877Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.5145903Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.5155486Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.5160623Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5166394Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5172287Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.5174641Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5174976Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5175478Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5175580Z      94 |     struct array
2025-06-05T23:28:56.5175660Z         |            ^~~~~
2025-06-05T23:28:56.5176509Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.5176700Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.5176816Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.5182068Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.5182827Z   [ 33%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx.c.o
2025-06-05T23:28:56.5190004Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.5198052Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5207438Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5213980Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.5216397Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5216772Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5217648Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5217802Z      94 |     struct array
2025-06-05T23:28:56.5217898Z         |            ^~~~~
2025-06-05T23:28:56.5218753Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.5218932Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.5219054Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.5225704Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.5236102Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.5241737Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5248085Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5254267Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.5256712Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5257061Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5257596Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5257686Z      94 |     struct array
2025-06-05T23:28:56.5257771Z         |            ^~~~~
2025-06-05T23:28:56.5258463Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.5258638Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.5258747Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.5265439Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.5277303Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.5285393Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5294260Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5303378Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.5306854Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5307412Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5308359Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5308501Z      94 |     struct array
2025-06-05T23:28:56.5308654Z         |            ^~~~~
2025-06-05T23:28:56.5309174Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.5309746Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.5310185Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.5310592Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.5311201Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.5311494Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.5313323Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.5313499Z     384 |   unsigned short x;
2025-06-05T23:28:56.5313646Z         |                  ^
2025-06-05T23:28:56.5313899Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.5314062Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.5314313Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.5314519Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.5315080Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.5315403Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.5323906Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.5336421Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.5345024Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5354188Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5363777Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.5367326Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5367805Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5368816Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5368987Z      94 |     struct array
2025-06-05T23:28:56.5369126Z         |            ^~~~~
2025-06-05T23:28:56.5369697Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.5370271Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.5370721Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.5371143Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.5371693Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.5372051Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.5373874Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.5374032Z     384 |   unsigned short x;
2025-06-05T23:28:56.5374180Z         |                  ^
2025-06-05T23:28:56.5374404Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.5374613Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.5374890Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.5375064Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.5375550Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.5375877Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.5384264Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.5396389Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.5405146Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5414286Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5424087Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.5427637Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5428169Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5429306Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5429572Z      94 |     struct array
2025-06-05T23:28:56.5429717Z         |            ^~~~~
2025-06-05T23:28:56.5430329Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.5430819Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.5431260Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.5431849Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.5432183Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.5434034Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.5434182Z      84 |   uint16_t x;
2025-06-05T23:28:56.5434342Z         |            ^
2025-06-05T23:28:56.5434591Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.5434783Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.5435074Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.5435289Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.5435846Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.5436166Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.5445445Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.5458606Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.5467440Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5477248Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5487138Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.5490945Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5491501Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5492474Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5492629Z      94 |     struct array
2025-06-05T23:28:56.5492763Z         |            ^~~~~
2025-06-05T23:28:56.5493451Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.5493895Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.5494351Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.5494918Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.5495261Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.5497071Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.5497235Z      84 |   uint16_t x;
2025-06-05T23:28:56.5497375Z         |            ^
2025-06-05T23:28:56.5497610Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.5497809Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.5498093Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.5498316Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.5498867Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.5499221Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.5508049Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.5520356Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.5528790Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5538285Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5548027Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.5551539Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5552117Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5553036Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5553184Z      94 |     struct array
2025-06-05T23:28:56.5553335Z         |            ^~~~~
2025-06-05T23:28:56.5554510Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.5554809Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.5555017Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.5564073Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.5576666Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.5585700Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5595201Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5604902Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.5608522Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5609048Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5609894Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5610035Z      94 |     struct array
2025-06-05T23:28:56.5610170Z         |            ^~~~~
2025-06-05T23:28:56.5611398Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.5611762Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.5611946Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.5620845Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.5633016Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.5641335Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5650733Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5661141Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.5664585Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5665098Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5666096Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5666240Z      94 |     struct array
2025-06-05T23:28:56.5666378Z         |            ^~~~~
2025-06-05T23:28:56.5667610Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.5667917Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.5668103Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.5677475Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.5689995Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.5698874Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5708462Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5709180Z   [ 33%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_leaky_relu.cpp.o
2025-06-05T23:28:56.5718814Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.5722396Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5722880Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5723735Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5723906Z      94 |     struct array
2025-06-05T23:28:56.5724047Z         |            ^~~~~
2025-06-05T23:28:56.5725345Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.5725622Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.5725786Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.5733791Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.5746169Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.5754656Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5764248Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5773984Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.5777258Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5777729Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5778527Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5778680Z      94 |     struct array
2025-06-05T23:28:56.5778804Z         |            ^~~~~
2025-06-05T23:28:56.5779323Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.5779800Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.5780165Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.5780589Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.5781158Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.5781526Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.5782904Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.5783002Z     384 |   unsigned short x;
2025-06-05T23:28:56.5783103Z         |                  ^
2025-06-05T23:28:56.5783245Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.5783370Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.5783549Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.5783665Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.5783971Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.5784187Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.5790959Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.5799788Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.5809517Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5820521Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5832049Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.5836141Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5836749Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5837820Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5837986Z      94 |     struct array
2025-06-05T23:28:56.5838150Z         |            ^~~~~
2025-06-05T23:28:56.5838809Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.5839417Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.5839947Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.5840459Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.5841081Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.5841485Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.5843533Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.5843737Z     384 |   unsigned short x;
2025-06-05T23:28:56.5843902Z         |                  ^
2025-06-05T23:28:56.5844175Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.5844427Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.5844894Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.5845125Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.5845791Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.5846198Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.5857086Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.5867651Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.5872634Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5881518Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5882722Z   [ 33%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f.c.o
2025-06-05T23:28:56.5892437Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.5896094Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5896637Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5897647Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5897808Z      94 |     struct array
2025-06-05T23:28:56.5897946Z         |            ^~~~~
2025-06-05T23:28:56.5898514Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.5898977Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.5899423Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.5899993Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.5900329Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.5902119Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.5902376Z      84 |   uint16_t x;
2025-06-05T23:28:56.5902511Z         |            ^
2025-06-05T23:28:56.5902753Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.5902956Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.5903220Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.5903413Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.5903942Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.5904262Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.5913596Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.5926120Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.5935613Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5944878Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5954239Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.5957500Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = double; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5958061Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5958998Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5959151Z      94 |     struct array
2025-06-05T23:28:56.5959300Z         |            ^~~~~
2025-06-05T23:28:56.5959833Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.5960273Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.5960704Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.5961268Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.5961645Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.5962935Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.5963056Z      84 |   uint16_t x;
2025-06-05T23:28:56.5963176Z         |            ^
2025-06-05T23:28:56.5963386Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.5963566Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.5963826Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.5964005Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.5964367Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.5964559Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.5969435Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.5975956Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.5980534Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5985877Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.5991642Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.5993645Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.5993930Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.5994428Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.5994519Z      94 |     struct array
2025-06-05T23:28:56.5994599Z         |            ^~~~~
2025-06-05T23:28:56.5995277Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.5995455Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.5995562Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.6001158Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.6008765Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.6014419Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6020564Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6026108Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.6028081Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6028720Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6029458Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6029598Z      94 |     struct array
2025-06-05T23:28:56.6029713Z         |            ^~~~~
2025-06-05T23:28:56.6030806Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.6031095Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.6031228Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.6036383Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.6044291Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.6049478Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6055524Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6061142Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.6063250Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6063755Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6064300Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6064430Z      94 |     struct array
2025-06-05T23:28:56.6064546Z         |            ^~~~~
2025-06-05T23:28:56.6065345Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.6065562Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.6065729Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.6071844Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.6082116Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.6087275Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6092475Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6098939Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.6100774Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6101238Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6101744Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6101834Z      94 |     struct array
2025-06-05T23:28:56.6101930Z         |            ^~~~~
2025-06-05T23:28:56.6102604Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.6102783Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.6102906Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.6107874Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.6114531Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.6119110Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6124594Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6131126Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.6133512Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6133972Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6134749Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6134845Z      94 |     struct array
2025-06-05T23:28:56.6134929Z         |            ^~~~~
2025-06-05T23:28:56.6135239Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.6135560Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.6135982Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.6136356Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.6136696Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.6136892Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.6138409Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.6138524Z     384 |   unsigned short x;
2025-06-05T23:28:56.6138608Z         |                  ^
2025-06-05T23:28:56.6138788Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.6138923Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.6139085Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.6139206Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.6139527Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.6139791Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.6145621Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.6153755Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.6158656Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6164105Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6164541Z   [ 33%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_lift_fresh_copy.cpp.o
2025-06-05T23:28:56.6169947Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.6172073Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6172408Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6173061Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6173154Z      94 |     struct array
2025-06-05T23:28:56.6173252Z         |            ^~~~~
2025-06-05T23:28:56.6173560Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.6173853Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.6174176Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.6174421Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.6174736Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.6174944Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.6175960Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.6176055Z     384 |   unsigned short x;
2025-06-05T23:28:56.6176149Z         |                  ^
2025-06-05T23:28:56.6176282Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.6176402Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.6176600Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.6176727Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.6177028Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.6177216Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.6182476Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.6190881Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.6197043Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6203768Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6209287Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.6211098Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6211392Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6211905Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6212008Z      94 |     struct array
2025-06-05T23:28:56.6212089Z         |            ^~~~~
2025-06-05T23:28:56.6212428Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.6212726Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.6213126Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.6213503Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.6213825Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.6214968Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.6215055Z      84 |   uint16_t x;
2025-06-05T23:28:56.6215135Z         |            ^
2025-06-05T23:28:56.6215290Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.6215456Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.6215624Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.6215753Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.6216058Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.6216246Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.6221433Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.6229443Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.6235208Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6241065Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6247239Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.6249376Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6249675Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6250214Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6250361Z      94 |     struct array
2025-06-05T23:28:56.6250455Z         |            ^~~~~
2025-06-05T23:28:56.6250782Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.6251034Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.6251297Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.6251644Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.6251842Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.6252853Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.6253062Z      84 |   uint16_t x;
2025-06-05T23:28:56.6253145Z         |            ^
2025-06-05T23:28:56.6253298Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.6253434Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.6253688Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.6253877Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.6254363Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.6254625Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.6259595Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.6266592Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.6272214Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6277425Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6282781Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.6284636Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6284924Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6285411Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6285549Z      94 |     struct array
2025-06-05T23:28:56.6285642Z         |            ^~~~~
2025-06-05T23:28:56.6286307Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.6286482Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.6286604Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.6291801Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.6298808Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.6304200Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6309957Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6315451Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.6317575Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6317885Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6318443Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6318545Z      94 |     struct array
2025-06-05T23:28:56.6318624Z         |            ^~~~~
2025-06-05T23:28:56.6319332Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.6319587Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.6319696Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.6324884Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.6331869Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.6337020Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6345333Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6353325Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.6355243Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6355521Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6356023Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6356154Z      94 |     struct array
2025-06-05T23:28:56.6356234Z         |            ^~~~~
2025-06-05T23:28:56.6356920Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.6357096Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.6357204Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.6362142Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.6368900Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.6373644Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6378608Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6384340Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.6386230Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6386647Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6387156Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6387275Z      94 |     struct array
2025-06-05T23:28:56.6387360Z         |            ^~~~~
2025-06-05T23:28:56.6388034Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.6388222Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.6388328Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.6393147Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.6399700Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.6404970Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6411024Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6411709Z   [ 33%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3.c.o
2025-06-05T23:28:56.6417119Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.6419018Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6419309Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6419838Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6419973Z      94 |     struct array
2025-06-05T23:28:56.6420118Z         |            ^~~~~
2025-06-05T23:28:56.6420490Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.6420914Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.6421240Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.6421534Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.6421914Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.6422124Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.6423195Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.6423316Z     384 |   unsigned short x;
2025-06-05T23:28:56.6423465Z         |                  ^
2025-06-05T23:28:56.6423605Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.6423724Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.6423999Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.6424185Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.6424558Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.6424750Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.6430659Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.6438553Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.6444938Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6450167Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6455357Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.6457265Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6457555Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6458052Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6458157Z      94 |     struct array
2025-06-05T23:28:56.6458239Z         |            ^~~~~
2025-06-05T23:28:56.6458577Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.6458885Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.6459136Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.6459388Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.6459708Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.6459912Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.6460895Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.6460990Z     384 |   unsigned short x;
2025-06-05T23:28:56.6461087Z         |                  ^
2025-06-05T23:28:56.6461223Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.6461343Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.6461522Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.6461636Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.6461972Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.6462176Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.6466847Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.6473793Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.6478665Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6483870Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6489342Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.6491382Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6491761Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6492518Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6492626Z      94 |     struct array
2025-06-05T23:28:56.6492705Z         |            ^~~~~
2025-06-05T23:28:56.6493106Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.6493378Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.6493633Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.6493951Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.6494159Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.6495142Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.6495231Z      84 |   uint16_t x;
2025-06-05T23:28:56.6495321Z         |            ^
2025-06-05T23:28:56.6495457Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.6495577Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.6495740Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.6495908Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.6496215Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.6496403Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.6501579Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.6508684Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.6513532Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6518592Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6525384Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.6528453Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6529058Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6529872Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6530022Z      94 |     struct array
2025-06-05T23:28:56.6530116Z         |            ^~~~~
2025-06-05T23:28:56.6530563Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.6530934Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.6531246Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.6531565Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.6531792Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.6533234Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.6533371Z      84 |   uint16_t x;
2025-06-05T23:28:56.6533507Z         |            ^
2025-06-05T23:28:56.6533869Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.6534017Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.6534235Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.6534425Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.6534843Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.6535152Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.6541624Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.6555188Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.6563607Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6570092Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6576570Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.6578920Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6579385Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6579941Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6580068Z      94 |     struct array
2025-06-05T23:28:56.6580177Z         |            ^~~~~
2025-06-05T23:28:56.6580926Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.6581184Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.6581364Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.6586992Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.6594551Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.6599912Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6605478Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6610997Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.6612879Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6613238Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6613742Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6613870Z      94 |     struct array
2025-06-05T23:28:56.6613956Z         |            ^~~~~
2025-06-05T23:28:56.6614632Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.6614814Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.6614920Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.6620559Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.6631052Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.6636461Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6641996Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6647514Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.6649674Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6649975Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6650476Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6650565Z      94 |     struct array
2025-06-05T23:28:56.6650658Z         |            ^~~~~
2025-06-05T23:28:56.6651405Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.6651801Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.6651967Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.6658226Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.6666633Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.6671432Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6676683Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6682991Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.6684913Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6685193Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6685698Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6685788Z      94 |     struct array
2025-06-05T23:28:56.6685879Z         |            ^~~~~
2025-06-05T23:28:56.6686554Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.6686743Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.6686855Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.6692641Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.6700284Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.6707284Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6715428Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6725157Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.6729197Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6729864Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6730888Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6731042Z      94 |     struct array
2025-06-05T23:28:56.6731202Z         |            ^~~~~
2025-06-05T23:28:56.6731921Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.6732480Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.6733063Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.6733568Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.6734182Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.6734585Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.6736552Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.6736711Z     384 |   unsigned short x;
2025-06-05T23:28:56.6736861Z         |                  ^
2025-06-05T23:28:56.6737111Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.6737289Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.6737533Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.6737735Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.6738250Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.6738574Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.6745306Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.6754415Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.6762850Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6771843Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6781361Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.6784792Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6785361Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6786274Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6786440Z      94 |     struct array
2025-06-05T23:28:56.6786555Z         |            ^~~~~
2025-06-05T23:28:56.6787045Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.6787530Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.6787973Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.6788386Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.6788935Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.6789287Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.6791044Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.6791194Z     384 |   unsigned short x;
2025-06-05T23:28:56.6791344Z         |                  ^
2025-06-05T23:28:56.6791570Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.6791774Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.6792068Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.6792244Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.6792800Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.6793099Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.6799763Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.6810050Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.6817320Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6825491Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6825798Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.6825986Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.6826232Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.6826349Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.6826768Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:56.6827079Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:11,
2025-06-05T23:28:56.6834176Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.6837584Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6838132Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6839131Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6839300Z      94 |     struct array
2025-06-05T23:28:56.6839455Z         |            ^~~~~
2025-06-05T23:28:56.6840015Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.6840464Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.6840937Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.6841529Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.6841875Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.6843739Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.6843893Z      84 |   uint16_t x;
2025-06-05T23:28:56.6844144Z         |            ^
2025-06-05T23:28:56.6844374Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.6844555Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.6844814Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.6844998Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.6845488Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.6845797Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.6854663Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.6866344Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.6875116Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6884738Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6894708Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.6898348Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6898884Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6899809Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6900006Z      94 |     struct array
2025-06-05T23:28:56.6900250Z         |            ^~~~~
2025-06-05T23:28:56.6901088Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.6901660Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.6902196Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.6902818Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.6903219Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.6905237Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.6905579Z      84 |   uint16_t x;
2025-06-05T23:28:56.6926321Z         |            ^
2025-06-05T23:28:56.6926620Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.6926819Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.6927137Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.6927354Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.6927912Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.6928273Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.6937468Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.6949675Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.6958065Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6967808Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.6977762Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.6981431Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.6981945Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.6982857Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.6983033Z      94 |     struct array
2025-06-05T23:28:56.6983162Z         |            ^~~~~
2025-06-05T23:28:56.6984401Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.6984738Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.6984923Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.6994282Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.7007162Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.7016280Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7025022Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7035239Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.7038835Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.7039455Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.7040378Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.7040534Z      94 |     struct array
2025-06-05T23:28:56.7040680Z         |            ^~~~~
2025-06-05T23:28:56.7041937Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.7042241Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.7042437Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.7051471Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.7063746Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.7072305Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7081901Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7091827Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.7095666Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.7096184Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.7097090Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.7097256Z      94 |     struct array
2025-06-05T23:28:56.7097397Z         |            ^~~~~
2025-06-05T23:28:56.7098656Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.7099042Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.7099232Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.7108805Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.7121638Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.7130870Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7140726Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7161585Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.7174534Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.7178133Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.7179761Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.7180768Z      94 |     struct array
2025-06-05T23:28:56.7181186Z         |            ^~~~~
2025-06-05T23:28:56.7182696Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.7184095Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.7184785Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.7193670Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.7214271Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.7233521Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7250356Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7268833Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.7281068Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.7284615Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.7286255Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.7287274Z      94 |     struct array
2025-06-05T23:28:56.7287710Z         |            ^~~~~
2025-06-05T23:28:56.7288537Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.7289873Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.7291061Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.7292212Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.7293576Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.7294799Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.7297273Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.7298999Z     384 |   unsigned short x;
2025-06-05T23:28:56.7299469Z         |                  ^
2025-06-05T23:28:56.7299985Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.7300659Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.7301364Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.7302063Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.7303114Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.7304266Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.7314523Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.7335978Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.7355862Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7373567Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7392014Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.7404328Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.7407871Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.7409539Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.7410542Z      94 |     struct array
2025-06-05T23:28:56.7410979Z         |            ^~~~~
2025-06-05T23:28:56.7411811Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.7413227Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.7414479Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.7415561Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.7416831Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.7417983Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.7420459Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.7422186Z     384 |   unsigned short x;
2025-06-05T23:28:56.7422643Z         |                  ^
2025-06-05T23:28:56.7423177Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.7423894Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.7424601Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.7425313Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.7426276Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.7427393Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.7436615Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.7456888Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.7476437Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7493415Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7511495Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.7523475Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.7526804Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.7529177Z   [ 33%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar-acc2.c.o
2025-06-05T23:28:56.7531607Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.7532617Z      94 |     struct array
2025-06-05T23:28:56.7533124Z         |            ^~~~~
2025-06-05T23:28:56.7533974Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.7535138Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.7536316Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.7537568Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.7538732Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.7541267Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.7543016Z      84 |   uint16_t x;
2025-06-05T23:28:56.7543414Z         |            ^
2025-06-05T23:28:56.7543910Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.7544549Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.7545241Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.7545947Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.7546966Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.7548085Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.7558231Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.7579412Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.7599572Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7616927Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7635423Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.7644274Z                    from /pytorch/executorch/kernels/portable/cpu/op_le.cpp:9:
2025-06-05T23:28:56.7647724Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::Half; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.7651098Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.7652874Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.7653988Z      94 |     struct array
2025-06-05T23:28:56.7654439Z         |            ^~~~~
2025-06-05T23:28:56.7655288Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.7656580Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.7657852Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.7665131Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::less_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.7671230Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.7672401Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.7674960Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.7676686Z      84 |   uint16_t x;
2025-06-05T23:28:56.7677088Z         |            ^
2025-06-05T23:28:56.7677530Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.7678187Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.7678866Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.7679571Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.7680546Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.7681649Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.7691915Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::less_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.7706676Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::less_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7718859Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7731177Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<unsigned char>]’
2025-06-05T23:28:56.7745460Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.7757410Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.7761432Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.7763166Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.7764327Z      94 |     struct array
2025-06-05T23:28:56.7764759Z         |            ^~~~~
2025-06-05T23:28:56.7766452Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:56.7768013Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.7768725Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.7781444Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.7797932Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.7808188Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7826865Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, t/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7840692Z   orch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.7849938Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.7859847Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.7862622Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.7863911Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.7864700Z      94 |     struct array
2025-06-05T23:28:56.7865192Z         |            ^~~~~
2025-06-05T23:28:56.7870826Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7876883Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.7878534Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.7879228Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.7886358Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.7892434Z   [ 33%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_linear_scratch_example.cpp.o
2025-06-05T23:28:56.7900735Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.7915290Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<unsigned char>]’
2025-06-05T23:28:56.7933726Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Te/pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.7945102Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.7946979Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.7948059Z      94 |     struct array
2025-06-05T23:28:56.7948480Z         |            ^~~~~
2025-06-05T23:28:56.7950121Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:56.7951759Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.7952438Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.7959120Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::less_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.7967822Z   nsor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.7980757Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::less_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.7995119Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::less_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8008913Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8023072Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8035395Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<signed char>]’
2025-06-05T23:28:56.8044868Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.8048763Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.8050427Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.8051370Z      94 |     struct array
2025-06-05T23:28:56.8051759Z         |            ^~~~~
2025-06-05T23:28:56.8053398Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:56.8055026Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.8055778Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.8062999Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.8077996Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8096608Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:56.8108534Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.8111963Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.8113550Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.8114528Z      94 |     struct array
2025-06-05T23:28:56.8114908Z         |            ^~~~~
2025-06-05T23:28:56.8116523Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.8117941Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.8118618Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.8127176Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.8144862Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.8154960Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8168481Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executo/pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.8180334Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8183417Z   rch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8192091Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.8203456Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.8206692Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.8208196Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.8209446Z      94 |     struct array
2025-06-05T23:28:56.8209922Z         |            ^~~~~
2025-06-05T23:28:56.8211524Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.8213106Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.8213975Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.8220527Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8228296Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<signed char>]’
2025-06-05T23:28:56.8233919Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.8236204Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.8237122Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.8237833Z      94 |     struct array
2025-06-05T23:28:56.8238072Z         |            ^~~~~
2025-06-05T23:28:56.8239212Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:56.8240083Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.8240481Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.8245049Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::less_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.8259319Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.8276762Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::less_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.8300036Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const T/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::less_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8316138Z   ensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.8327762Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8335142Z   [ 33%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar-acc2.c.o
2025-06-05T23:28:56.8343057Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<short int>]’
2025-06-05T23:28:56.8352703Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.8356866Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.8358574Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.8359611Z      94 |     struct array
2025-06-05T23:28:56.8360030Z         |            ^~~~~
2025-06-05T23:28:56.8361766Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:56.8363263Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.8363972Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.8371487Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.8387831Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.8402832Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8417554Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8432932Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8445546Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<short int>]’
2025-06-05T23:28:56.8455410Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.8459459Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.8461139Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.8462189Z      94 |     struct array
2025-06-05T23:28:56.8462607Z         |            ^~~~~
2025-06-05T23:28:56.8464240Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:56.8465731Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.8466445Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.8473166Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::less_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.8488679Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::less_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.8503385Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::less_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8515286Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8527445Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<int>]’
2025-06-05T23:28:56.8536965Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.8540764Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.8542389Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.8543370Z      94 |     struct array
2025-06-05T23:28:56.8543793Z         |            ^~~~~
2025-06-05T23:28:56.8545318Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:56.8546947Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.8547564Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.8554948Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.8570613Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.8578617Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8586636Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8599235Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<int>]’
2025-06-05T23:28:56.8608766Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.8612834Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.8614526Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.8615531Z      94 |     struct array
2025-06-05T23:28:56.8615937Z         |            ^~~~~
2025-06-05T23:28:56.8617415Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:56.8618919Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.8619643Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.8626126Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::less_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.8641555Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::less_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.8656094Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::less_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8668077Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8680310Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<long int>]’
2025-06-05T23:28:56.8689783Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.8693884Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.8695517Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.8696541Z      94 |     struct array
2025-06-05T23:28:56.8697064Z         |            ^~~~~
2025-06-05T23:28:56.8698587Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:56.8700082Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.8700803Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.8708166Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.8724341Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.8733639Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8740442Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8744047Z   [ 33%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse.c.o
2025-06-05T23:28:56.8751507Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<long int>]’
2025-06-05T23:28:56.8761474Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.8765608Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.8767263Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.8768305Z      94 |     struct array
2025-06-05T23:28:56.8768738Z         |            ^~~~~
2025-06-05T23:28:56.8770344Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:56.8771827Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.8772550Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.8779096Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::less_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.8802310Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executo/pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::less_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.8817821Z   rch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8824484Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::less_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8839017Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:56.8854701Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8864329Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.8867953Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.8869631Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.8870631Z      94 |     struct array
2025-06-05T23:28:56.8871061Z         |            ^~~~~
2025-06-05T23:28:56.8872611Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.8874086Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.8874799Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.8881385Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<float>]’
2025-06-05T23:28:56.8890987Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.8894872Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.8896569Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.8897560Z      94 |     struct array
2025-06-05T23:28:56.8897986Z         |            ^~~~~
2025-06-05T23:28:56.8908047Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long/usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.8917123Z    int; auto:4 = long int]’:
2025-06-05T23:28:56.8917760Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.8918468Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.8925488Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.8940221Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.8951000Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.8958871Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8965194Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.8971587Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<float>]’
2025-06-05T23:28:56.8978281Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.8982164Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.8983807Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.8984776Z      94 |     struct array
2025-06-05T23:28:56.8985191Z         |            ^~~~~
2025-06-05T23:28:56.8986669Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:56.8988049Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.8988727Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.8994494Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::less_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.9009879Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::less_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.9022957Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::less_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9031625Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9042038Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<double>]’
2025-06-05T23:28:56.9047076Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.9049273Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.9050161Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.9050706Z      94 |     struct array
2025-06-05T23:28:56.9050957Z         |            ^~~~~
2025-06-05T23:28:56.9051797Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.9052564Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.9053045Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.9057272Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.9065882Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.9073935Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9080403Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9087863Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9095271Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<double>]’
2025-06-05T23:28:56.9103594Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.9108157Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.9109883Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.9110896Z      94 |     struct array
2025-06-05T23:28:56.9111335Z         |            ^~~~~
2025-06-05T23:28:56.9113099Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:56.9114505Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.9115198Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.9121862Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::less_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.9137041Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9155483Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.9168039Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.9171692Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.9173473Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.9174554Z      94 |     struct array
2025-06-05T23:28:56.9175022Z         |            ^~~~~
2025-06-05T23:28:56.9175911Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.9177184Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.9178405Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.9179763Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.9181195Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.9182403Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.9184776Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.9186666Z     384 |   unsigned short x;
2025-06-05T23:28:56.9187115Z         |                  ^
2025-06-05T23:28:56.9187630Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.9188267Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.9188948Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.9189664Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.9190633Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.9191761Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.9201850Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::less_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.9216195Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::less_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9228761Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9244659Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.9259780Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<bool>]’
2025-06-05T23:28:56.9269523Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.9273586Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.9275215Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.9276226Z      94 |     struct array
2025-06-05T23:28:56.9285293Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, cons      |            ^~~~~
2025-06-05T23:28:56.9295189Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:56.9296593Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.9297286Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.9301002Z   t Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.9311350Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.9337502Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils:/pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.9361259Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9373693Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less_equal<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9379820Z   :SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9386438Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less_equal<bool>]’
2025-06-05T23:28:56.9395689Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.9399592Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:28:56.9401368Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.9402485Z      94 |     struct array
2025-06-05T23:28:56.9403019Z         |            ^~~~~
2025-06-05T23:28:56.9405581Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:56.9406969Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.9407667Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.9416348Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.9435140Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.9453046Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9471749Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9486527Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.9497772Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.9501688Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:56.9503432Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.9504480Z      94 |     struct array
2025-06-05T23:28:56.9504916Z         |            ^~~~~
2025-06-05T23:28:56.9506623Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:56.9508181Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.9508908Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.9520152Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.9542330Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.9560792Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9577786Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9593759Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.9604616Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.9608118Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:56.9609854Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.9610921Z      94 |     struct array
2025-06-05T23:28:56.9611342Z         |            ^~~~~
2025-06-05T23:28:56.9613098Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:56.9614769Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.9615456Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.9624003Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.9642145Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.9656070Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9666788Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9677819Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:56.9685481Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:56.9688289Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:56.9689576Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:56.9690321Z      94 |     struct array
2025-06-05T23:28:56.9690623Z         |            ^~~~~
2025-06-05T23:28:56.9691775Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:56.9692826Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:56.9693442Z         |                                                        ^~~~~~~~
2025-06-05T23:28:56.9701488Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9710804Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.9726905Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.9740914Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:56.9747820Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.9750783Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.9752180Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.9752795Z      94 |     struct array
2025-06-05T23:28:56.9753046Z         |            ^~~~~
2025-06-05T23:28:56.9753513Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:56.9754214Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:56.9754874Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:56.9755482Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.9756160Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.9756790Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.9758077Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:56.9759161Z     384 |   unsigned short x;
2025-06-05T23:28:56.9759532Z         |                  ^
2025-06-05T23:28:56.9760011Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.9760588Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.9761270Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.9761946Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.9763055Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.9764242Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.9773515Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:56.9789626Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:56.9805243Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9817110Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9836285Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:56.9848690Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:56.9852375Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:56.9854179Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:56.9855303Z      94 |     struct array
2025-06-05T23:28:56.9855747Z         |            ^~~~~
2025-06-05T23:28:56.9856654Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:56.9857934Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:56.9859122Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:56.9860428Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:56.9861651Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:56.9864140Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:56.9865722Z      84 |   uint16_t x;
2025-06-05T23:28:56.9866118Z         |            ^
2025-06-05T23:28:56.9866733Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:56.9867412Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:56.9868733Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:56.9869574Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:56.9871017Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:56.9872856Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:56.9887087Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:56.9912577Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:56.9932665Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9948817Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9965747Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9982814Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:56.9999999Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:57.0012655Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.0016452Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.0018207Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.0027861Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.0034691Z      94 |     struct array
2025-06-05T23:28:57.0035085Z         |            ^~~~~
2025-06-05T23:28:57.0035925Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:57.0036335Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:57.0036724Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:57.0040988Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.0041687Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:57.0042208Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:57.0042612Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:57.0043585Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.0043747Z      94 |     struct array
2025-06-05T23:28:57.0043915Z         |            ^~~~~
2025-06-05T23:28:57.0045809Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:57.0045962Z      84 |   uint16_t x;
2025-06-05T23:28:57.0046109Z         |            ^
2025-06-05T23:28:57.0046346Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.0046553Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.0046838Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.0047055Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.0047550Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:57.0047984Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:57.0056893Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.0069409Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.0071103Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:57.0071601Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0071906Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0080228Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0088387Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.0098281Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0109729Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.0119688Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:57.0123460Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.0124007Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.0125036Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.0133138Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0133442Z      94 |     struct array
2025-06-05T23:28:57.0133624Z         |            ^~~~~
2025-06-05T23:28:57.0135072Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:57.0135630Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0135858Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0145461Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.0154358Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0171628Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Te/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.0175227Z   nsor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.0179362Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.0179944Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:57.0180963Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.0181284Z      94 |     struct array
2025-06-05T23:28:57.0181502Z         |            ^~~~~
2025-06-05T23:28:57.0190671Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0192246Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:57.0192665Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0202036Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executor      |                                                        ^~~~~~~~
2025-06-05T23:28:57.0202747Z   ch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0211337Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.0221337Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:57.0225187Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.0225928Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.0226974Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.0227178Z      94 |     struct array
2025-06-05T23:28:57.0227411Z         |            ^~~~~
2025-06-05T23:28:57.0228891Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:57.0229233Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0229626Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0238749Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.0251020Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.0259600Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0269621Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0279770Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:57.0283372Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.0283980Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.0284936Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.0285338Z      94 |     struct array
2025-06-05T23:28:57.0285684Z         |            ^~~~~
2025-06-05T23:28:57.0287055Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:57.0287481Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0287714Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0297383Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.0298613Z   [ 33%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx.c.o
2025-06-05T23:28:57.0311300Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.0320557Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0331586Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0338730Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:57.0340861Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.0341242Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.0341844Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.0342094Z      94 |     struct array
2025-06-05T23:28:57.0342226Z         |            ^~~~~
2025-06-05T23:28:57.0343006Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:57.0343261Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0343448Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0348852Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.0360514Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTY/pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.0365119Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0370148Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0374892Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.0377421Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.0377729Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:57.0378323Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.0378568Z      94 |     struct array
2025-06-05T23:28:57.0378710Z         |            ^~~~~
2025-06-05T23:28:57.0379612Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:57.0379874Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0380015Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0384542Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.0391547Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.0393397Z   PE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.0397819Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0402702Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0408679Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0415217Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0420046Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.0427590Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::e/pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.0428157Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:57.0429019Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.0429205Z      94 |     struct array
2025-06-05T23:28:57.0429656Z   tensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:57.0429818Z         |            ^~~~~
2025-06-05T23:28:57.0432380Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.0433303Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:57.0433526Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0434002Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.0434196Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0434841Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.0434943Z      94 |     struct array
2025-06-05T23:28:57.0435223Z         |            ^~~~~
2025-06-05T23:28:57.0435624Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:57.0435947Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:57.0436268Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:57.0436601Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:57.0437040Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:57.0437374Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:57.0442326Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.0443652Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:57.0443854Z     384 |   unsigned short x;
2025-06-05T23:28:57.0444366Z         |                  ^
2025-06-05T23:28:57.0444763Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.0445070Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.0445508Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.0445768Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.0446348Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:57.0446751Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:57.0456115Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.0465828Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::Suppor/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0471964Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0479448Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.0480675Z   tedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.0490389Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.0496038Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0501780Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0509905Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:57.0512281Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.0512655Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.0513344Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.0513467Z      94 |     struct array
2025-06-05T23:28:57.0513685Z         |            ^~~~~
2025-06-05T23:28:57.0514139Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:57.0514528Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:57.0514868Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:57.0515265Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:57.0515628Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:57.0515891Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:57.0517186Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:57.0517315Z     384 |   unsigned short x;
2025-06-05T23:28:57.0517427Z         |                  ^
2025-06-05T23:28:57.0517650Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.0517793Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.0518156Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.0518371Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.0518779Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:57.0521188Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.0521559Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:57.0521838Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:57.0522540Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.0522731Z      94 |     struct array
2025-06-05T23:28:57.0522883Z         |            ^~~~~
2025-06-05T23:28:57.0523688Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:57.0523983Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0524102Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0531630Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.0536525Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.0543487Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.0549457Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.0554086Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0558524Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0563623Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0568232Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0572584Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.0577916Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:57.0580306Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.0580674Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:57.0581674Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.0581818Z      94 |     struct array
2025-06-05T23:28:57.0582022Z         |            ^~~~~
2025-06-05T23:28:57.0584392Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.0585281Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:57.0585625Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.0585914Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0586601Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.0586747Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0586868Z      94 |     struct array
2025-06-05T23:28:57.0587028Z         |            ^~~~~
2025-06-05T23:28:57.0587586Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:57.0588006Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:57.0588446Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:57.0589058Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:57.0589448Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:57.0591310Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:57.0591676Z      84 |   uint16_t x;
2025-06-05T23:28:57.0591935Z         |            ^
2025-06-05T23:28:57.0597834Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.0598082Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.0598235Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.0598436Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.0598576Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.0599093Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:57.0599318Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:57.0610183Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::Suconst executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.0610691Z   pportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.0619586Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0624216Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0626054Z   const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.0630734Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.0632974Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.0633361Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:57.0633894Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.0634018Z      94 |     struct array
2025-06-05T23:28:57.0634176Z         |            ^~~~~
2025-06-05T23:28:57.0634884Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:57.0635177Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0635393Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0640187Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0644405Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.0654125Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const/pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0655352Z   ::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.0659293Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0668552Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtim/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0668941Z   e::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:57.0670867Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.0671210Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.0671753Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.0671919Z      94 |     struct array
2025-06-05T23:28:57.0672009Z         |            ^~~~~
2025-06-05T23:28:57.0672412Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:57.0672769Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:57.0673042Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:57.0673383Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:57.0677721Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.0678129Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:57.0680300Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.0681377Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:57.0681675Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:57.0681792Z      84 |   uint16_t x;
2025-06-05T23:28:57.0681928Z         |            ^
2025-06-05T23:28:57.0695350Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.0695600Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.0695698Z      94 |     struct array
2025-06-05T23:28:57.0695834Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.0695916Z         |            ^~~~~
2025-06-05T23:28:57.0696082Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.0696211Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.0696992Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:57.0697170Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0697496Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:57.0697606Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0697883Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:57.0702360Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.0707042Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.0717604Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, con/pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = st executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.0719151Z   c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.0723355Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0727724Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0733179Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0742077Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const execu/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.0742442Z   torch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0744583Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.0744857Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:57.0745383Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.0745490Z      94 |     struct array
2025-06-05T23:28:57.0745573Z         |            ^~~~~
2025-06-05T23:28:57.0746243Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:57.0746446Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0746556Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0756774Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::et/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.0757353Z   ensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:57.0760905Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.0761401Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.0762206Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.0762354Z      94 |     struct array
2025-06-05T23:28:57.0762624Z         |            ^~~~~
2025-06-05T23:28:57.0763815Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:57.0764094Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0769264Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runti      |                                                        ^~~~~~~~
2025-06-05T23:28:57.0770378Z   me::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.0775376Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.0779323Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0788337Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Te/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0790078Z   nsor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.0794921Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.0797553Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.0797828Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:57.0798402Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.0798501Z      94 |     struct array
2025-06-05T23:28:57.0798633Z         |            ^~~~~
2025-06-05T23:28:57.0804505Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0805491Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:57.0805671Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0805785Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0810666Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.0819528Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0831014Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.0840055Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:57.0843174Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.0848793Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0849235Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.0849590Z   [ 33%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_log.cpp.o
2025-06-05T23:28:57.0850107Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.0850214Z      94 |     struct array
2025-06-05T23:28:57.0850300Z         |            ^~~~~
2025-06-05T23:28:57.0851096Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:57.0851384Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0851554Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0864014Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long i/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0864305Z   nt; auto:4 = long int]’:
2025-06-05T23:28:57.0870153Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.0873083Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.0873449Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:57.0874253Z   [ 33%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f.c.o
2025-06-05T23:28:57.0881088Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.0881239Z      94 |     struct array
2025-06-05T23:28:57.0881354Z         |            ^~~~~
2025-06-05T23:28:57.0883331Z   = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.0884286Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:57.0884567Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0884707Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0890284Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.0896350Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0903619Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::[ 33%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3.c.o
2025-06-05T23:28:57.0909709Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0917512Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:57.0921045Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.0921715Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.0922663Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.0922821Z      94 |     struct array
2025-06-05T23:28:57.0922972Z         |            ^~~~~
2025-06-05T23:28:57.0924185Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:57.0924480Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0924754Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0934045Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.0946385Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.0955922Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0957029Z   [ 33%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar-acc2.c.o
2025-06-05T23:28:57.0966478Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.0975774Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:57.0979246Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.0979827Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.0980735Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.0980891Z      94 |     struct array
2025-06-05T23:28:57.0981034Z         |            ^~~~~
2025-06-05T23:28:57.0982299Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:57.0982596Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.0982765Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.0984747Z   etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.0993031Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.0999122Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1011884Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTY/pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1014204Z   PE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.1020428Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.1026616Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1029863Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.1030379Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:57.1031052Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.1031186Z      94 |     struct array
2025-06-05T23:28:57.1031296Z         |            ^~~~~
2025-06-05T23:28:57.1032355Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:57.1032637Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.1032818Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.1038415Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.1044610Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.1048847Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1053463Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1057771Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.1059900Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less_equal; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.1060174Z   /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:28:57.1060664Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.1060757Z      94 |     struct array
2025-06-05T23:28:57.1060840Z         |            ^~~~~
2025-06-05T23:28:57.1061512Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:57.1061688Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.1061801Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.1066757Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1071871Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:57.1073746Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.1074048Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.1074549Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.1074638Z      94 |     struct array
2025-06-05T23:28:57.1074721Z         |            ^~~~~
2025-06-05T23:28:57.1075027Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:57.1075332Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:57.1075587Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:57.1075833Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:57.1076159Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:57.1076362Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:57.1077337Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:57.1077444Z     384 |   unsigned short x;
2025-06-05T23:28:57.1077529Z         |                  ^
2025-06-05T23:28:57.1077667Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.1077801Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.1077964Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.1078082Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.1078400Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:57.1078591Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:57.1084866Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.1092280Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.1098837Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1107656Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1117588Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:57.1120396Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.1120822Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.1121566Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.1121693Z      94 |     struct array
2025-06-05T23:28:57.1121815Z         |            ^~~~~
2025-06-05T23:28:57.1122278Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:57.1122704Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:57.1123068Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:57.1123437Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:57.1123874Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:57.1124134Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:57.1125541Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:57.1125667Z     384 |   unsigned short x;
2025-06-05T23:28:57.1125782Z         |                  ^
2025-06-05T23:28:57.1125977Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.1126135Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.1126437Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.1126616Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.1127037Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:57.1127299Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:57.1134591Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.1144020Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.1150589Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1155698Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1161439Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:57.1163324Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.1163615Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.1164170Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.1164261Z      94 |     struct array
2025-06-05T23:28:57.1164366Z         |            ^~~~~
2025-06-05T23:28:57.1164699Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:57.1164953Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:57.1165214Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:57.1165527Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:57.1165722Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:57.1166710Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:57.1166798Z      84 |   uint16_t x;
2025-06-05T23:28:57.1166878Z         |            ^
2025-06-05T23:28:57.1167025Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.1167486Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.1167651Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.1167767Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.1168082Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:57.1168271Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:57.1173416Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.1180089Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.1185310Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1190403Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1195539Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:57.1197412Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::Half; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.1197781Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.1198328Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.1198420Z      94 |     struct array
2025-06-05T23:28:57.1198517Z         |            ^~~~~
2025-06-05T23:28:57.1198839Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:57.1199090Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:57.1199354Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:57.1199666Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:57.1199857Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:57.1200834Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:57.1200956Z      84 |   uint16_t x;
2025-06-05T23:28:57.1201037Z         |            ^
2025-06-05T23:28:57.1201181Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.1201299Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.1201461Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.1201576Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.1201892Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:57.1202084Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:57.1208535Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.1215611Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.1220275Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1225582Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1231428Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:57.1233682Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.1234131Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.1234924Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.1235077Z      94 |     struct array
2025-06-05T23:28:57.1235197Z         |            ^~~~~
2025-06-05T23:28:57.1236295Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:57.1236624Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.1236799Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.1242526Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.1250022Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.1254830Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1259803Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1260248Z   [ 33%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_log10.cpp.o
2025-06-05T23:28:57.1265599Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:57.1267501Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.1267810Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.1268299Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.1268388Z      94 |     struct array
2025-06-05T23:28:57.1268469Z         |            ^~~~~
2025-06-05T23:28:57.1269148Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:57.1269321Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.1269429Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.1275140Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.1282388Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.1287196Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1292687Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1298324Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:57.1300505Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.1300910Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.1301467Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.1301557Z      94 |     struct array
2025-06-05T23:28:57.1301649Z         |            ^~~~~
2025-06-05T23:28:57.1302721Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:57.1303058Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.1303289Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.1309487Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.1320186Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.1325593Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1330894Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1336145Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:57.1338035Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.1338370Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.1338875Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.1338967Z      94 |     struct array
2025-06-05T23:28:57.1339090Z         |            ^~~~~
2025-06-05T23:28:57.1339775Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:57.1339951Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.1340101Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.1345168Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.1352275Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.1358917Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; CTYPE_OUT = c10::Half; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1368291Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1378037Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:57.1381632Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.1382134Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.1383026Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.1383179Z      94 |     struct array
2025-06-05T23:28:57.1383305Z         |            ^~~~~
2025-06-05T23:28:57.1383836Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:57.1384335Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:57.1384765Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:57.1385201Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:57.1385760Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:57.1386057Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:57.1387817Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:57.1387974Z     384 |   unsigned short x;
2025-06-05T23:28:57.1388135Z         |                  ^
2025-06-05T23:28:57.1388352Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.1388536Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.1388832Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.1389114Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.1389678Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:57.1390028Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:57.1398472Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.1411060Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.1420652Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1431084Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1441006Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:57.1444614Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.1445105Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.1445992Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.1446139Z      94 |     struct array
2025-06-05T23:28:57.1446287Z         |            ^~~~~
2025-06-05T23:28:57.1446929Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:57.1447461Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:57.1447879Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:57.1448296Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:57.1448833Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:57.1449155Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:57.1450918Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:57.1451166Z     384 |   unsigned short x;
2025-06-05T23:28:57.1451319Z         |                  ^
2025-06-05T23:28:57.1451554Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.1451750Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.1452030Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.1452209Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.1452663Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:57.1453116Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:57.1462202Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.1474183Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.1482836Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; CTYPE_OUT = c10::BFloat16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1491951Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1501134Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:57.1504519Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.1505035Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.1506214Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.1506379Z      94 |     struct array
2025-06-05T23:28:57.1506565Z         |            ^~~~~
2025-06-05T23:28:57.1507226Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:57.1507674Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:57.1508133Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:57.1508730Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:57.1509080Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:57.1511021Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:57.1511196Z      84 |   uint16_t x;
2025-06-05T23:28:57.1511339Z         |            ^
2025-06-05T23:28:57.1511576Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.1511807Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.1512082Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.1512271Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.1512885Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:57.1513250Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:28:57.1522429Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.1534457Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.1542142Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1551965Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = true; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1560183Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:374:46:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::internal::SupportNoncontiguousTensors) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:57.1563486Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:76:3:   required from ‘torch::executor::native::Tensor& torch::executor::native::{anonymous}::glu_out_tensor(executorch::runtime::KernelRuntimeContext&, const Tensor&, int64_t, torch::executor::native::Tensor&) [with CTYPE_IN = c10::BFloat16; CTYPE_OUT = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; int64_t = long int]’
2025-06-05T23:28:57.1564164Z   /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:28:57.1565201Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.1565360Z      94 |     struct array
2025-06-05T23:28:57.1565495Z         |            ^~~~~
2025-06-05T23:28:57.1566096Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:57.1566542Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:57.1566988Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:28:57.1567644Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:28:57.1568006Z                    from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:28:57.1569789Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:57.1569939Z      84 |   uint16_t x;
2025-06-05T23:28:57.1570059Z         |            ^
2025-06-05T23:28:57.1570709Z   [ 33%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_log1p.cpp.o
2025-06-05T23:28:57.1571293Z   [ 33%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_log2.cpp.o
2025-06-05T23:28:57.1572269Z   [ 33%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar-acc2.c.o
2025-06-05T23:28:57.1573056Z   [ 33%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_log_softmax.cpp.o
2025-06-05T23:28:57.1574033Z   [ 33%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse.c.o
2025-06-05T23:28:57.1574702Z   [ 33%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_logical_and.cpp.o
2025-06-05T23:28:57.1575362Z   [ 33%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_logical_not.cpp.o
2025-06-05T23:28:57.1576470Z   [ 33%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l32c16s1r-minmax-avx512f.c.o
2025-06-05T23:28:57.1577476Z   [ 33%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c8s4r-minmax-fma3.c.o
2025-06-05T23:28:57.1578550Z   [ 33%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l8c8s4r-minmax-avx.c.o
2025-06-05T23:28:57.1579254Z   [ 34%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_logical_or.cpp.o
2025-06-05T23:28:57.1580356Z   [ 34%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l16c4s4r-minmax-sse.c.o
2025-06-05T23:28:57.1580602Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.1580812Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.1581091Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.1581280Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.1581797Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:57.1582312Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:28:57.1582915Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/logical_op.h:9,
2025-06-05T23:28:57.1583315Z                    from /pytorch/executorch/kernels/portable/cpu/op_logical_and.cpp:9:
2025-06-05T23:28:57.1589001Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.1598693Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.1604410Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1611408Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.1617803Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = bool (*)(bool, bool)]’
2025-06-05T23:28:57.1621854Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/logical_op.h:40:48:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::logical_tensor_out(bool (*)(bool, bool), executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with const char* op_name = (& op_name)]’
2025-06-05T23:28:57.1622438Z   /pytorch/executorch/kernels/portable/cpu/op_logical_and.cpp:31:75:   required from here
2025-06-05T23:28:57.1623372Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.1623535Z      94 |     struct array
2025-06-05T23:28:57.1623690Z         |            ^~~~~
2025-06-05T23:28:57.1624891Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:57.1625205Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.1625406Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.1632658Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.1642872Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.1649302Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.3106580Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.3119469Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = bool (*)(bool, bool)]’
2025-06-05T23:28:57.3128989Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/logical_op.h:40:48:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::logical_tensor_out(bool (*)(bool, bool), executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with const char* op_name = (& op_name)]’
2025-06-05T23:28:57.3133130Z   /pytorch/executorch/kernels/portable/cpu/op_logical_and.cpp:31:75:   required from here
2025-06-05T23:28:57.3134864Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.3135850Z      94 |     struct array
2025-06-05T23:28:57.3136279Z         |            ^~~~~
2025-06-05T23:28:57.3137792Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:57.3139169Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.3139868Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.3141347Z   [ 35%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx.c.o
2025-06-05T23:28:57.3143759Z   [ 35%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f.c.o
2025-06-05T23:28:57.3146147Z   [ 35%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3.c.o
2025-06-05T23:28:57.3148153Z   [ 35%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_logical_xor.cpp.o
2025-06-05T23:28:57.3149751Z   [ 35%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_logit.cpp.o
2025-06-05T23:28:57.3150880Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.3151546Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.3152264Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.3153007Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.3154100Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:57.3155446Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:28:57.3156775Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/logical_op.h:9,
2025-06-05T23:28:57.3157942Z                    from /pytorch/executorch/kernels/portable/cpu/op_logical_or.cpp:9:
2025-06-05T23:28:57.3165270Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.3180222Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.3194449Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.3206258Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.3218684Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = bool (*)(bool, bool)]’
2025-06-05T23:28:57.4862568Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/logical_op.h:40:48:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::logical_tensor_out(bool (*)(bool, bool), executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with const char* op_name = (& op_name)]’
2025-06-05T23:28:57.4866391Z   /pytorch/executorch/kernels/portable/cpu/op_logical_or.cpp:31:74:   required from here
2025-06-05T23:28:57.4868112Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.4869047Z      94 |     struct array
2025-06-05T23:28:57.4869448Z         |            ^~~~~
2025-06-05T23:28:57.4870841Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:57.4872301Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.4872953Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.4879761Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.4893556Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.4902216Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.4908733Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.4920670Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = bool (*)(bool, bool)]’
2025-06-05T23:28:57.4931469Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/logical_op.h:40:48:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::logical_tensor_out(bool (*)(bool, bool), executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with const char* op_name = (& op_name)]’
2025-06-05T23:28:57.4935354Z   /pytorch/executorch/kernels/portable/cpu/op_logical_or.cpp:31:74:   required from here
2025-06-05T23:28:57.4937020Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.4937930Z      94 |     struct array
2025-06-05T23:28:57.4938341Z         |            ^~~~~
2025-06-05T23:28:57.4939805Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:57.4941039Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.4941735Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.4943264Z   [ 35%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar-acc2.c.o
2025-06-05T23:28:57.4945646Z   [ 35%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar-acc2.c.o
2025-06-05T23:28:57.4947977Z   [ 35%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse.c.o
2025-06-05T23:28:57.4950530Z   [ 35%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1-acc2.c.o
2025-06-05T23:28:57.4952698Z   [ 35%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_lt.cpp.o
2025-06-05T23:28:57.4954457Z   [ 35%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_masked_fill.cpp.o
2025-06-05T23:28:57.4956519Z   [ 35%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-4x1.c.o
2025-06-05T23:28:57.4957986Z   [ 35%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_masked_scatter.cpp.o
2025-06-05T23:28:57.4958709Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.4959155Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.4959577Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.4959971Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.4960514Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:57.4961348Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:28:57.4962061Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/logical_op.h:9,
2025-06-05T23:28:57.4962697Z                    from /pytorch/executorch/kernels/portable/cpu/op_logical_xor.cpp:9:
2025-06-05T23:28:57.4966476Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.4974281Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.4981559Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.4989122Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.4996986Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = bool (*)(bool, bool)]’
2025-06-05T23:28:57.5001856Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/logical_op.h:40:48:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::logical_tensor_out(bool (*)(bool, bool), executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with const char* op_name = (& op_name)]’
2025-06-05T23:28:57.5003869Z   /pytorch/executorch/kernels/portable/cpu/op_logical_xor.cpp:31:75:   required from here
2025-06-05T23:28:57.5004823Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.5005377Z      94 |     struct array
2025-06-05T23:28:57.5005626Z         |            ^~~~~
2025-06-05T23:28:57.5006449Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:57.5007200Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.5007604Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.5011347Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.5019604Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.5027493Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6506742Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = bool (*)(bool, bool); Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6519134Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = bool (*)(bool, bool)]’
2025-06-05T23:28:57.6528310Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/logical_op.h:40:48:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::logical_tensor_out(bool (*)(bool, bool), executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with const char* op_name = (& op_name)]’
2025-06-05T23:28:57.6532356Z   /pytorch/executorch/kernels/portable/cpu/op_logical_xor.cpp:31:75:   required from here
2025-06-05T23:28:57.6534008Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.6534803Z      94 |     struct array
2025-06-05T23:28:57.6535199Z         |            ^~~~~
2025-06-05T23:28:57.6536528Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:57.6537857Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.6538568Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.6539865Z   [ 35%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_masked_select.cpp.o
2025-06-05T23:28:57.6542105Z   [ 35%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4-acc2.c.o
2025-06-05T23:28:57.6544804Z   [ 35%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4-acc2.c.o
2025-06-05T23:28:57.6547032Z   [ 35%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_max.cpp.o
2025-06-05T23:28:57.6548139Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.6548859Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.6549558Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.6550263Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.6551250Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:57.6552541Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:11,
2025-06-05T23:28:57.6553664Z                    from /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:9:
2025-06-05T23:28:57.6560772Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::less<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.6574697Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::less<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.6585662Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::less<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6592661Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6599607Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<unsigned char>]’
2025-06-05T23:28:57.6605025Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.6607466Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.6608497Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.6609204Z      94 |     struct array
2025-06-05T23:28:57.6609450Z         |            ^~~~~
2025-06-05T23:28:57.6610452Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:57.6611422Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.6612155Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.6616588Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.6626298Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.6639266Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6649520Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6659900Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<unsigned char>]’
2025-06-05T23:28:57.6668086Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.6671191Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.6672647Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.6673635Z      94 |     struct array
2025-06-05T23:28:57.6673993Z         |            ^~~~~
2025-06-05T23:28:57.6675504Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:57.6677061Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.6677678Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.6684338Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::less<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.6696316Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::less<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.6705448Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::less<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6713737Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6721578Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<signed char>]’
2025-06-05T23:28:57.6728831Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.6732817Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.6734542Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.6735363Z      94 |     struct array
2025-06-05T23:28:57.6735657Z         |            ^~~~~
2025-06-05T23:28:57.6736742Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:57.6738253Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.6738969Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.6744092Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.6754022Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.6763690Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6772892Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6784908Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<signed char>]’
2025-06-05T23:28:57.6793572Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.6797340Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.6798946Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.6799921Z      94 |     struct array
2025-06-05T23:28:57.6800330Z         |            ^~~~~
2025-06-05T23:28:57.6801752Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:57.6803089Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.6803718Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.6809117Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::less<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.6819230Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::less<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.6827778Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::less<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6835673Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6843546Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<short int>]’
2025-06-05T23:28:57.6849003Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.6851407Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.6852319Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.6853143Z      94 |     struct array
2025-06-05T23:28:57.6853518Z         |            ^~~~~
2025-06-05T23:28:57.6855054Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:57.6856044Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.6856586Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.6861351Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.6872490Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.6885452Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6896180Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6907390Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<short int>]’
2025-06-05T23:28:57.6915936Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.6919417Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.6920950Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.6921866Z      94 |     struct array
2025-06-05T23:28:57.6922224Z         |            ^~~~~
2025-06-05T23:28:57.6923956Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:57.6925284Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.6925982Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.6932457Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::less<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.6946552Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::less<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.6959680Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::less<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6970596Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.6981721Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<int>]’
2025-06-05T23:28:57.6989579Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.6992003Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.6992910Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.6993452Z      94 |     struct array
2025-06-05T23:28:57.6993711Z         |            ^~~~~
2025-06-05T23:28:57.6994865Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:57.6995755Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.6996146Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.7001623Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.7013907Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.7022642Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7030319Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7037259Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<int>]’
2025-06-05T23:28:57.7042961Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.7045199Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.7046099Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.7046868Z      94 |     struct array
2025-06-05T23:28:57.7047256Z         |            ^~~~~
2025-06-05T23:28:57.7048506Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:57.7049724Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.7050405Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.7055513Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::less<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.7066360Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::less<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.7080324Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::less<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7089779Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7096535Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<long int>]’
2025-06-05T23:28:57.7101792Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.7103939Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.7104833Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.7105479Z      94 |     struct array
2025-06-05T23:28:57.7105722Z         |            ^~~~~
2025-06-05T23:28:57.7106581Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:57.7107455Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.7107852Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.7112667Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.7125266Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.7139771Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7151944Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7163626Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<long int>]’
2025-06-05T23:28:57.7172842Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.7176613Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.7177580Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.7178206Z      94 |     struct array
2025-06-05T23:28:57.7178593Z         |            ^~~~~
2025-06-05T23:28:57.7180059Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:57.7181477Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.7182229Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.7188762Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::less<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.7202670Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::less<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.7214148Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::less<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7220507Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7227195Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<float>]’
2025-06-05T23:28:57.7232606Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.7235155Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.7236061Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.7236613Z      94 |     struct array
2025-06-05T23:28:57.7236857Z         |            ^~~~~
2025-06-05T23:28:57.7237684Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:57.7238537Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.7238946Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.7242903Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.7252237Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.7267570Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7279871Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7292226Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<float>]’
2025-06-05T23:28:57.7301698Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.7305622Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.7307289Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.7308304Z      94 |     struct array
2025-06-05T23:28:57.7308718Z         |            ^~~~~
2025-06-05T23:28:57.7310247Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:57.7311613Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.7312298Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.7318989Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::less<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.7334052Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::less<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.7348362Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::less<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7360091Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7371889Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<double>]’
2025-06-05T23:28:57.7381565Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.7385682Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.7387367Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.7388325Z      94 |     struct array
2025-06-05T23:28:57.7388763Z         |            ^~~~~
2025-06-05T23:28:57.7390351Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:57.7391771Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.7392462Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.7399588Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.7416129Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.7426148Z   [ 35%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_max_pool2d_with_indices.cpp.o
2025-06-05T23:28:57.7433704Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7446138Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7458999Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<double>]’
2025-06-05T23:28:57.7468459Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.7472451Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.7474087Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.7475088Z      94 |     struct array
2025-06-05T23:28:57.7475522Z         |            ^~~~~
2025-06-05T23:28:57.7477193Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:57.7478663Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.7479372Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.7486025Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::less<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.7500715Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::less<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.7514253Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::less<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7525984Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7538097Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<bool>]’
2025-06-05T23:28:57.7547600Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.7551552Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.7553131Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.7554248Z      94 |     struct array
2025-06-05T23:28:57.7554665Z         |            ^~~~~
2025-06-05T23:28:57.7556214Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:57.7557618Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.7558338Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.7565435Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.7581172Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.7596280Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::less<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7608367Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::less<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7620761Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::less<bool>]’
2025-06-05T23:28:57.7630341Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.7634220Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:28:57.7635822Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.7636750Z      94 |     struct array
2025-06-05T23:28:57.7637176Z         |            ^~~~~
2025-06-05T23:28:57.7638738Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:57.7640111Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.7640810Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.7649160Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.7667764Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.7685273Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7700118Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7715661Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.7727117Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.7731199Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.7733144Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.7734185Z      94 |     struct array
2025-06-05T23:28:57.7734602Z         |            ^~~~~
2025-06-05T23:28:57.7736382Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:57.7738034Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.7738681Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.7747533Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.7766281Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.7785139Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7800981Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7816837Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.7827468Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.7831705Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.7833419Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.7834412Z      94 |     struct array
2025-06-05T23:28:57.7834843Z         |            ^~~~~
2025-06-05T23:28:57.7836561Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:57.7838090Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.7838775Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.7847627Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.7865858Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.7883101Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7898435Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7906280Z   [ 35%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_max_pool2d_with_indices_backward.cpp.o
2025-06-05T23:28:57.7913848Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.7922862Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.7926013Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.7927483Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.7928293Z      94 |     struct array
2025-06-05T23:28:57.7928889Z         |            ^~~~~
2025-06-05T23:28:57.7930253Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:57.7931503Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.7932116Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.7939528Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.7955249Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.7972769Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7981370Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.7991460Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.8002004Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.8005674Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.8007361Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.8008336Z      94 |     struct array
2025-06-05T23:28:57.8008739Z         |            ^~~~~
2025-06-05T23:28:57.8010274Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:57.8011793Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.8012506Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.8020761Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.8038843Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.8056378Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8071602Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8087385Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.8098589Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.8102576Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.8104249Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.8105299Z      94 |     struct array
2025-06-05T23:28:57.8105736Z         |            ^~~~~
2025-06-05T23:28:57.8107352Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:57.8108863Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.8109602Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.8118748Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.8138418Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.8157072Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8172568Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8188585Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.8199767Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.8203763Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.8205502Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.8206557Z      94 |     struct array
2025-06-05T23:28:57.8206965Z         |            ^~~~~
2025-06-05T23:28:57.8208584Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:57.8210058Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.8210787Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.8219230Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.8237194Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.8254219Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8265471Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8273589Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.8279227Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.8281337Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.8282187Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.8282729Z      94 |     struct array
2025-06-05T23:28:57.8282978Z         |            ^~~~~
2025-06-05T23:28:57.8283776Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:57.8284541Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.8284931Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.8289648Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.8299563Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.8309037Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8317001Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8324988Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.8331717Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.8333830Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.8334699Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.8335245Z      94 |     struct array
2025-06-05T23:28:57.8335485Z         |            ^~~~~
2025-06-05T23:28:57.8336381Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:57.8337258Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.8337756Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.8342394Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.8346476Z   [ 35%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_maximum.cpp.o
2025-06-05T23:28:57.8353063Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.8362763Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8370820Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8379014Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.8384806Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.8387078Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.8388059Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.8388665Z      94 |     struct array
2025-06-05T23:28:57.8389060Z         |            ^~~~~
2025-06-05T23:28:57.8389960Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:57.8390844Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.8391428Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.8392076Z   [ 35%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_mean.cpp.o
2025-06-05T23:28:57.8397074Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.8407158Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.8413481Z   [ 35%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc2.c.o
2025-06-05T23:28:57.8418633Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8427308Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8436938Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.8454325Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.8456438Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.8457409Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.8458158Z      94 |     struct array
2025-06-05T23:28:57.8458401Z         |            ^~~~~
2025-06-05T23:28:57.8459264Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:57.8460072Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.8460463Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.8464884Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.8474266Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.8483208Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8490915Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8499032Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.8504711Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.8506792Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.8507663Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.8508202Z      94 |     struct array
2025-06-05T23:28:57.8508456Z         |            ^~~~~
2025-06-05T23:28:57.8509268Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:57.8510050Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.8510457Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.8515122Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.8524972Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.8534929Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8543528Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8552529Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.8558983Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.8563497Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.8565242Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.8566311Z      94 |     struct array
2025-06-05T23:28:57.8566725Z         |            ^~~~~
2025-06-05T23:28:57.8568036Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:57.8568954Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.8569414Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.8574344Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.8583821Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.8593426Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8601990Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8613307Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.8619297Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.8621359Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.8622246Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.8622802Z      94 |     struct array
2025-06-05T23:28:57.8623058Z         |            ^~~~~
2025-06-05T23:28:57.8623880Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:57.8624666Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.8625072Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.8630325Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.8640392Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.8649891Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8657971Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8666151Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.8672039Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.8674304Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.8675246Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.8675855Z      94 |     struct array
2025-06-05T23:28:57.8676234Z         |            ^~~~~
2025-06-05T23:28:57.8677190Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:57.8678084Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.8678480Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.8683174Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.8693389Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.8702808Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8711050Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8719298Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.8724961Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.8727016Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.8727882Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.8728415Z      94 |     struct array
2025-06-05T23:28:57.8728899Z         |            ^~~~~
2025-06-05T23:28:57.8729761Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:57.8730682Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.8731144Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.8736381Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.8746922Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.8756888Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8764978Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8929340Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.8935570Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::less; const char* op_name = (& op_name)]’
2025-06-05T23:28:57.8937702Z   /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:28:57.8938576Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:57.8939129Z      94 |     struct array
2025-06-05T23:28:57.8939370Z         |            ^~~~~
2025-06-05T23:28:57.8940251Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:57.8941318Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.8941722Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.8942309Z   [ 35%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_min.cpp.o
2025-06-05T23:28:57.8942908Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:57.8943286Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:57.8943694Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:57.8944087Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:57.8944578Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:57.8945153Z                    from /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:9:
2025-06-05T23:28:57.8950311Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.8961410Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.8971895Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8980897Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.8990809Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.8995263Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:57.8996297Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.8996875Z      94 |     struct array
2025-06-05T23:28:57.8997131Z         |            ^~~~~
2025-06-05T23:28:57.8998068Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:57.8999019Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.8999539Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.9004768Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.9017832Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.9029307Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9038426Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9048825Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.9053007Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:57.9053980Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.9054565Z      94 |     struct array
2025-06-05T23:28:57.9054804Z         |            ^~~~~
2025-06-05T23:28:57.9055717Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:57.9056564Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.9056954Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.9062387Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.9076399Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.9086662Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9097152Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9112262Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.9117519Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:57.9118832Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.9119622Z      94 |     struct array
2025-06-05T23:28:57.9119944Z         |            ^~~~~
2025-06-05T23:28:57.9120970Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:57.9122225Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.9122693Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.9131816Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.9151516Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.9169646Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9185471Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9201497Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.9208600Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:57.9210235Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.9211216Z      94 |     struct array
2025-06-05T23:28:57.9211610Z         |            ^~~~~
2025-06-05T23:28:57.9213249Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:57.9214639Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.9215397Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.9223860Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.9238732Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.9255308Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9264350Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9274447Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.9278982Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:57.9280146Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.9280776Z      94 |     struct array
2025-06-05T23:28:57.9281031Z         |            ^~~~~
2025-06-05T23:28:57.9282073Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:57.9283095Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.9283627Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.9290049Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.9306713Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.9322252Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9335768Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9349556Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.9356152Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:57.9357624Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.9358558Z      94 |     struct array
2025-06-05T23:28:57.9359049Z         |            ^~~~~
2025-06-05T23:28:57.9360446Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:57.9361712Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.9362338Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.9370814Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.9388139Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.9400845Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9415199Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9427878Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.9435008Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:57.9436649Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.9437867Z      94 |     struct array
2025-06-05T23:28:57.9438462Z         |            ^~~~~
2025-06-05T23:28:57.9439882Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:57.9441298Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.9441968Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.9451158Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.9472024Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.9490850Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9507110Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9523605Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.9531562Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:57.9533484Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.9534475Z      94 |     struct array
2025-06-05T23:28:57.9534883Z         |            ^~~~~
2025-06-05T23:28:57.9536417Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:57.9537772Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.9538489Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.9547555Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.9566674Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.9585012Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9601338Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9618755Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.9626809Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:57.9629333Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.9630197Z      94 |     struct array
2025-06-05T23:28:57.9630559Z         |            ^~~~~
2025-06-05T23:28:57.9632191Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:57.9633756Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.9634466Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.9644072Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.9664971Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.9684160Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9700239Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9710122Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.9714170Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:57.9715092Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.9715646Z      94 |     struct array
2025-06-05T23:28:57.9715902Z         |            ^~~~~
2025-06-05T23:28:57.9716748Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:57.9717592Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.9718003Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.9723537Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.9736670Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.9748167Z   [ 35%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1-acc2.c.o
2025-06-05T23:28:57.9757880Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9773856Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9789979Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.9797876Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:57.9799581Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.9800587Z      94 |     struct array
2025-06-05T23:28:57.9801025Z         |            ^~~~~
2025-06-05T23:28:57.9802545Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:57.9803992Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.9804743Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.9814201Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:57.9834669Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:57.9853988Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9870132Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9886973Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.9894876Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:57.9896708Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.9897705Z      94 |     struct array
2025-06-05T23:28:57.9898126Z         |            ^~~~~
2025-06-05T23:28:57.9899694Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:57.9901039Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.9901754Z         |                                                        ^~~~~~~~
2025-06-05T23:28:57.9910560Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:57.9929364Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:57.9947883Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9963375Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:57.9980057Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:57.9987981Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:57.9989700Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:57.9990733Z      94 |     struct array
2025-06-05T23:28:57.9991175Z         |            ^~~~~
2025-06-05T23:28:57.9992742Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:57.9994280Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:57.9994991Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.0004566Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.0014077Z   [ 35%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc3.c.o
2025-06-05T23:28:58.0027905Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.0047161Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.0063974Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.0080850Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.0087834Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:58.0089565Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.0090518Z      94 |     struct array
2025-06-05T23:28:58.0090936Z         |            ^~~~~
2025-06-05T23:28:58.0092497Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:58.0094010Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.0094699Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.0103598Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.0122358Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.0140853Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.0156661Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.0173500Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.0181373Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:58.0183207Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.0184193Z      94 |     struct array
2025-06-05T23:28:58.0184623Z         |            ^~~~~
2025-06-05T23:28:58.0186143Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:58.0187452Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.0188180Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.0189178Z   [ 35%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_minimum.cpp.o
2025-06-05T23:28:58.0197174Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.0211427Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.0224964Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.0237007Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.0249135Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::maximum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.0257000Z   /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:28:58.0258731Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.0259726Z      94 |     struct array
2025-06-05T23:28:58.0260162Z         |            ^~~~~
2025-06-05T23:28:58.0261690Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:58.0263128Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.0263838Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.0265417Z   [ 35%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc5.c.o
2025-06-05T23:28:58.0267599Z   [ 35%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_mm.cpp.o
2025-06-05T23:28:58.0269774Z   [ 35%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc2.c.o
2025-06-05T23:28:58.1408770Z   [ 37%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4.c.o
2025-06-05T23:28:58.1411336Z   [ 37%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc5.c.o
2025-06-05T23:28:58.1413739Z   [ 37%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc2.c.o
2025-06-05T23:28:58.1415486Z   [ 37%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4.c.o
2025-06-05T23:28:58.1417278Z   [ 37%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-u24.c.o
2025-06-05T23:28:58.1418677Z   [ 37%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-u16.c.o
2025-06-05T23:28:58.1419489Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:58.1419848Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:58.1420239Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:58.1420624Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:58.1421223Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:58.1421831Z                    from /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:9:
2025-06-05T23:28:58.1431418Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.1444153Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.1454502Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.1463146Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.1472658Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.1480524Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.1482372Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.1483039Z      94 |     struct array
2025-06-05T23:28:58.1483276Z         |            ^~~~~
2025-06-05T23:28:58.1484226Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:58.1485075Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.1485461Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.1491263Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.1504829Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.1523091Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.1540107Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.1557062Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.1565396Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.1567589Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.1568627Z      94 |     struct array
2025-06-05T23:28:58.1569062Z         |            ^~~~~
2025-06-05T23:28:58.1570954Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:58.1572723Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.1573478Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.1582486Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.1601603Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.1619631Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.1635496Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.1646981Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.1654829Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.1657656Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.1658656Z      94 |     struct array
2025-06-05T23:28:58.1659047Z         |            ^~~~~
2025-06-05T23:28:58.1660672Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:58.1662602Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.1663316Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.1672947Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.1694995Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.1714274Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.1730325Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.1748016Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.1755698Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.1757477Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.1758467Z      94 |     struct array
2025-06-05T23:28:58.1758881Z         |            ^~~~~
2025-06-05T23:28:58.1760676Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:58.1762241Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.1762970Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.1771531Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.1790282Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.1807918Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.1822671Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.1837464Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.1841575Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.1842540Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.1843103Z      94 |     struct array
2025-06-05T23:28:58.1843340Z         |            ^~~~~
2025-06-05T23:28:58.1844209Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:58.1845012Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.1845401Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.1850313Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.1861224Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.1871180Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.1879596Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.1888235Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.1894214Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.1895862Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.1896797Z      94 |     struct array
2025-06-05T23:28:58.1897176Z         |            ^~~~~
2025-06-05T23:28:58.1898621Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:58.1900053Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.1900677Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.1909176Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.1925920Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.1942466Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.1957476Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.1973272Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.1980518Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.1982042Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.1982877Z      94 |     struct array
2025-06-05T23:28:58.1983287Z         |            ^~~~~
2025-06-05T23:28:58.1984754Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:58.1986077Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.1986859Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.1994330Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.2011232Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.2030630Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.2046810Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.2063145Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.2070956Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.2072604Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.2073602Z      94 |     struct array
2025-06-05T23:28:58.2073996Z         |            ^~~~~
2025-06-05T23:28:58.2075601Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:58.2077010Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.2077720Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.2086592Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.2105393Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.2123507Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.2139612Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.2156226Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.2164041Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.2165767Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.2166693Z      94 |     struct array
2025-06-05T23:28:58.2167128Z         |            ^~~~~
2025-06-05T23:28:58.2168758Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:58.2170349Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.2171035Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.2180852Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.2201705Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.2221021Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.2240822Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.2257491Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.2264825Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.2266661Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.2267657Z      94 |     struct array
2025-06-05T23:28:58.2268058Z         |            ^~~~~
2025-06-05T23:28:58.2269644Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:58.2271080Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.2271731Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.2280229Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.2298354Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.2316326Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.2332374Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.2349286Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.2357171Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.2358898Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.2360047Z      94 |     struct array
2025-06-05T23:28:58.2360485Z         |            ^~~~~
2025-06-05T23:28:58.2362013Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:58.2363427Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.2364161Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.2373381Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.2393873Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.2412284Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.2429156Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.2437971Z   [ 37%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-u16.c.o
2025-06-05T23:28:58.2447944Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.2455910Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.2457650Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.2458630Z      94 |     struct array
2025-06-05T23:28:58.2459086Z         |            ^~~~~
2025-06-05T23:28:58.2460584Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:58.2461965Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.2462685Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.2471572Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.2490552Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.2504999Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.2516634Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.2528975Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.2535164Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.2536119Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.2536679Z      94 |     struct array
2025-06-05T23:28:58.2536916Z         |            ^~~~~
2025-06-05T23:28:58.2537758Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:58.2538536Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.2538923Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.2539896Z   [ 37%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-u4.c.o
2025-06-05T23:28:58.2545323Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.2555864Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.2565765Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.2574300Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.2582899Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.2586965Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.2587861Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.2588417Z      94 |     struct array
2025-06-05T23:28:58.2588658Z         |            ^~~~~
2025-06-05T23:28:58.2589496Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:58.2590273Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.2590662Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.2595306Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.2599602Z   [ 37%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-u2.c.o
2025-06-05T23:28:58.2606915Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.2616320Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.2628372Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.3489340Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.3497593Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.3499473Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.3500494Z      94 |     struct array
2025-06-05T23:28:58.3500909Z         |            ^~~~~
2025-06-05T23:28:58.3502444Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:58.3503872Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.3504572Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.3513936Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.3533626Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.3553024Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.3569582Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.3586247Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::minimum_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.3594111Z   /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:28:58.3595812Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.3596802Z      94 |     struct array
2025-06-05T23:28:58.3597231Z         |            ^~~~~
2025-06-05T23:28:58.3598734Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:58.3600104Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.3600826Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.3601857Z   [ 37%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_mul.cpp.o
2025-06-05T23:28:58.3603339Z   [ 38%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_narrow_copy.cpp.o
2025-06-05T23:28:58.3605147Z   [ 38%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_native_batch_norm.cpp.o
2025-06-05T23:28:58.3606810Z   [ 38%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_native_dropout.cpp.o
2025-06-05T23:28:58.3608768Z   [ 38%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-u16.c.o
2025-06-05T23:28:58.3881465Z   [ 38%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-u8.c.o
2025-06-05T23:28:58.3883287Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:58.3884017Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:58.3884816Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:58.3885653Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:58.3886815Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:58.3888034Z                    from /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:9:
2025-06-05T23:28:58.3897939Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.3916651Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.3929994Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.3941366Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.3952875Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.3959202Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.3960181Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.3960839Z      94 |     struct array
2025-06-05T23:28:58.3961116Z         |            ^~~~~
2025-06-05T23:28:58.3962468Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:58.3963519Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.3963904Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.3968937Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.3980368Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.3991836Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4001730Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4013085Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.4019599Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.4021166Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.4022053Z      94 |     struct array
2025-06-05T23:28:58.4022441Z         |            ^~~~~
2025-06-05T23:28:58.4024030Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:58.4025340Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.4025934Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.4033591Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.4049939Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.4065956Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4081936Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4091332Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.4095487Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.4096394Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.4096972Z      94 |     struct array
2025-06-05T23:28:58.4097211Z         |            ^~~~~
2025-06-05T23:28:58.4098096Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:58.4098920Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.4099310Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.4104535Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.4115123Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.4125023Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4135317Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4144032Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.4148030Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.4148926Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.4149479Z      94 |     struct array
2025-06-05T23:28:58.4149724Z         |            ^~~~~
2025-06-05T23:28:58.4150581Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:58.4151748Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.4152428Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.4157073Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.4166853Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.4176403Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4187720Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4196373Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.4201481Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.4202910Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.4203555Z      94 |     struct array
2025-06-05T23:28:58.4203791Z         |            ^~~~~
2025-06-05T23:28:58.4204667Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:58.4205463Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.4205998Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.4211924Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.4223585Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.4234499Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4244970Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4256408Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.4263058Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.4264554Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.4265450Z      94 |     struct array
2025-06-05T23:28:58.4265827Z         |            ^~~~~
2025-06-05T23:28:58.4267236Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:58.4268529Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.4269154Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.4275077Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.4285383Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.4295872Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4306469Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4315779Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.4320297Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.4321240Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.4321831Z      94 |     struct array
2025-06-05T23:28:58.4322077Z         |            ^~~~~
2025-06-05T23:28:58.4322934Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:58.4323698Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.4324093Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.4329274Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.4341561Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.4351706Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4362724Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4371385Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.4375503Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.4376370Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.4376908Z      94 |     struct array
2025-06-05T23:28:58.4377139Z         |            ^~~~~
2025-06-05T23:28:58.4377934Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:58.4378697Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.4379121Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.4383768Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.4393481Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.4402886Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4413394Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4423288Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.4427378Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.4428275Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.4430095Z      94 |     struct array
2025-06-05T23:28:58.4430370Z         |            ^~~~~
2025-06-05T23:28:58.4431282Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:58.4432234Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.4432768Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.4437738Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.4448391Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.4465588Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4480953Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4493845Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.4498332Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.4499500Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.4500397Z      94 |     struct array
2025-06-05T23:28:58.4500745Z         |            ^~~~~
2025-06-05T23:28:58.4501818Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:58.4502772Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.4503297Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.4508196Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.4540117Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.4556357Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4571460Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4587277Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.4595010Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.4596603Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.4597187Z      94 |     struct array
2025-06-05T23:28:58.4597424Z         |            ^~~~~
2025-06-05T23:28:58.4598353Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:58.4599426Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.4599915Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.4606408Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.4619166Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.4633147Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4643409Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4653828Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.4658603Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.4659694Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.4660341Z      94 |     struct array
2025-06-05T23:28:58.4660591Z         |            ^~~~~
2025-06-05T23:28:58.4661431Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:58.4662266Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.4662742Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.4667466Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.4678575Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.4690068Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4703800Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4716432Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.4723153Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.4724691Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.4725594Z      94 |     struct array
2025-06-05T23:28:58.4725971Z         |            ^~~~~
2025-06-05T23:28:58.4727423Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:58.4728826Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.4729485Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.4738219Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.4757705Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.4775913Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4791208Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4807058Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.4812655Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.4814311Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.4815222Z      94 |     struct array
2025-06-05T23:28:58.4815646Z         |            ^~~~~
2025-06-05T23:28:58.4817056Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:58.4818416Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.4819061Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.4827269Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.4845631Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.4863399Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4878730Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4894854Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.4902735Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.4904456Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.4905440Z      94 |     struct array
2025-06-05T23:28:58.4905877Z         |            ^~~~~
2025-06-05T23:28:58.4907367Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:58.4908769Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.4909593Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.4918565Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.4933589Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.4946061Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4961820Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.4978269Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::mul_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.4985754Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:28:58.4987342Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.4988311Z      94 |     struct array
2025-06-05T23:28:58.4988730Z         |            ^~~~~
2025-06-05T23:28:58.4990169Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:58.4991605Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.4992299Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.5000066Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.5007106Z   [ 38%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_native_group_norm.cpp.o
2025-06-05T23:28:58.5018389Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.5034373Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5047737Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5061670Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>]’
2025-06-05T23:28:58.5068477Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.5070233Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.5071341Z      94 |     struct array
2025-06-05T23:28:58.5071786Z         |            ^~~~~
2025-06-05T23:28:58.5073551Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:58.5075055Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.5075717Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.5083851Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.5101619Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.5118570Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5133055Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5147143Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>]’
2025-06-05T23:28:58.5153899Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.5155585Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.5156563Z      94 |     struct array
2025-06-05T23:28:58.5156977Z         |            ^~~~~
2025-06-05T23:28:58.5158640Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:58.5160180Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.5160971Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.5168487Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.5184800Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.5200851Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5214515Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5229366Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>]’
2025-06-05T23:28:58.5236291Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.5238047Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.5239247Z      94 |     struct array
2025-06-05T23:28:58.5239688Z         |            ^~~~~
2025-06-05T23:28:58.5241345Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:58.5242879Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.5243606Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.5251930Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.5270034Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.5286889Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5301281Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5315968Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>]’
2025-06-05T23:28:58.5322968Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.5324777Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.5325818Z      94 |     struct array
2025-06-05T23:28:58.5326236Z         |            ^~~~~
2025-06-05T23:28:58.5327945Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:58.5330470Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.5331195Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.5338783Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.5355778Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.5372116Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5386011Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5400173Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>]’
2025-06-05T23:28:58.5407150Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.5408888Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.5409934Z      94 |     struct array
2025-06-05T23:28:58.5410387Z         |            ^~~~~
2025-06-05T23:28:58.5411987Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:58.5413620Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.5414333Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.5422594Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.5440728Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.5457738Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5472179Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5486514Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>]’
2025-06-05T23:28:58.5493691Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.5495525Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.5496529Z      94 |     struct array
2025-06-05T23:28:58.5496950Z         |            ^~~~~
2025-06-05T23:28:58.5498661Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:58.5500223Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.5500922Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.5508526Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.5515489Z   [ 38%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_native_layer_norm.cpp.o
2025-06-05T23:28:58.5527076Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.5543081Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5556851Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5571265Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>]’
2025-06-05T23:28:58.5578359Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.5579968Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.5580935Z      94 |     struct array
2025-06-05T23:28:58.5581341Z         |            ^~~~~
2025-06-05T23:28:58.5582788Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:58.5584207Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.5584901Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.5593085Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.5610656Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.5628040Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5641621Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5656130Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>]’
2025-06-05T23:28:58.5662949Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.5664563Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.5665558Z      94 |     struct array
2025-06-05T23:28:58.5665976Z         |            ^~~~~
2025-06-05T23:28:58.5667508Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:58.5669053Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.5669780Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.5677495Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.5693853Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.5709958Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5723614Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5738243Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>]’
2025-06-05T23:28:58.5745098Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.5746874Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.5747878Z      94 |     struct array
2025-06-05T23:28:58.5748282Z         |            ^~~~~
2025-06-05T23:28:58.5749807Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:58.5751374Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.5752134Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.5760484Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.5778103Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.5795097Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5809485Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5823802Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>]’
2025-06-05T23:28:58.5831059Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.5832744Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.5833764Z      94 |     struct array
2025-06-05T23:28:58.5834211Z         |            ^~~~~
2025-06-05T23:28:58.5835836Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:58.5837313Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.5838036Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.5845723Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.5855355Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.5863680Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5870747Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5878080Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>]’
2025-06-05T23:28:58.5882092Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.5883713Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.5884620Z      94 |     struct array
2025-06-05T23:28:58.5885039Z         |            ^~~~~
2025-06-05T23:28:58.5886585Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:58.5888002Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.5888711Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.5889757Z   [ 38%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_ne.cpp.o
2025-06-05T23:28:58.5898774Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.5916574Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.5933469Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5947532Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.5962037Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>]’
2025-06-05T23:28:58.5968915Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.5970595Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.5971700Z      94 |     struct array
2025-06-05T23:28:58.5972128Z         |            ^~~~~
2025-06-05T23:28:58.5973729Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:58.5975164Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.5975868Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.5983091Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.5999483Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.6015844Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6029819Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6044050Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>]’
2025-06-05T23:28:58.6050885Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.6052585Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.6053691Z      94 |     struct array
2025-06-05T23:28:58.6054120Z         |            ^~~~~
2025-06-05T23:28:58.6055629Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:58.6056903Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.6057608Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.6065842Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.6084227Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.6101119Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6114080Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6127782Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>]’
2025-06-05T23:28:58.6134644Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.6136316Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.6137407Z      94 |     struct array
2025-06-05T23:28:58.6137773Z         |            ^~~~~
2025-06-05T23:28:58.6139272Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:58.6140650Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.6141357Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.6148967Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.6165115Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.6180733Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6194380Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6208594Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:16)>]’
2025-06-05T23:28:58.6215429Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.6217100Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.6218087Z      94 |     struct array
2025-06-05T23:28:58.6218490Z         |            ^~~~~
2025-06-05T23:28:58.6220038Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:58.6221433Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.6222135Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.6230283Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.6248069Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.6264660Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6278574Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6292601Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::mul_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:16)>]’
2025-06-05T23:28:58.6299606Z   /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:28:58.6301250Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.6302218Z      94 |     struct array
2025-06-05T23:28:58.6302754Z         |            ^~~~~
2025-06-05T23:28:58.6304252Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:58.6305687Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.6306380Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.6307375Z   [ 38%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_neg.cpp.o
2025-06-05T23:28:58.6309274Z   [ 38%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx-broadcast.c.o
2025-06-05T23:28:58.6311718Z   [ 38%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-fma3-broadcast.c.o
2025-06-05T23:28:58.6313221Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:58.6313966Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:58.6314669Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:58.6315380Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:58.6316332Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:58.6317621Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:28:58.6318871Z                    from /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:9:
2025-06-05T23:28:58.6327974Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.6348245Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.6365168Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6377504Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6388768Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:317:76:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:28:58.6394619Z   /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:58:5:   required from here
2025-06-05T23:28:58.6396200Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.6397075Z      94 |     struct array
2025-06-05T23:28:58.6397454Z         |            ^~~~~
2025-06-05T23:28:58.6398785Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:58.6400117Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.6400813Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.6408461Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.6422684Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.6434216Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6446761Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6462046Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:317:76:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:28:58.6469436Z   /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:58:5:   required from here
2025-06-05T23:28:58.6471249Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.6472291Z      94 |     struct array
2025-06-05T23:28:58.6472745Z         |            ^~~~~
2025-06-05T23:28:58.6474411Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:58.6475885Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.6476602Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.6486102Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.6506704Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.6526371Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6542169Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6556539Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:317:76:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = c10::Half; const char* op_name = (& op_name); Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:28:58.6563954Z   /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:58:5:   required from here
2025-06-05T23:28:58.6565731Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.6566744Z      94 |     struct array
2025-06-05T23:28:58.6567159Z         |            ^~~~~
2025-06-05T23:28:58.6568001Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:28:58.6569269Z                    from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:28:58.6570497Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:28:58.6571907Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:28:58.6573404Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:28:58.6574838Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:12,
2025-06-05T23:28:58.6576079Z                    from /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:9:
2025-06-05T23:28:58.6578677Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:28:58.6580430Z     384 |   unsigned short x;
2025-06-05T23:28:58.6580879Z         |                  ^
2025-06-05T23:28:58.6581414Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:58.6582171Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:58.6582889Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:58.6583608Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:58.6584582Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:28:58.6585955Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:28:58.6587252Z                    from /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:9:
2025-06-05T23:28:58.6596943Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.6617963Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.6636821Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6652600Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:206:47:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_runtime_out_dtypes(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.6668252Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:317:76:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes) [with CTYPE_COMPUTE = c10::BFloat16; const char* op_name = (& op_name); Op = torch::executor::native::native_dropout_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, double, std::optional<bool>, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:28:58.7046716Z   /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:58:5:   required from here
2025-06-05T23:28:58.7048841Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.7049888Z      94 |     struct array
2025-06-05T23:28:58.7050360Z         |            ^~~~~
2025-06-05T23:28:58.7051251Z   In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:28:58.7052503Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:28:58.7053821Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:28:58.7055253Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:28:58.7056726Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:12,
2025-06-05T23:28:58.7058167Z                    from /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:9:
2025-06-05T23:28:58.7060791Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:28:58.7062526Z      84 |   uint16_t x;
2025-06-05T23:28:58.7062889Z         |            ^
2025-06-05T23:28:58.7063824Z   [ 38%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_nonzero.cpp.o
2025-06-05T23:28:58.7065355Z   [ 38%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_ones.cpp.o
2025-06-05T23:28:58.7066905Z   [ 38%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_pdist_forward.cpp.o
2025-06-05T23:28:58.7068047Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:58.7068831Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:58.7069561Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:58.7070256Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:58.7071132Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:58.7072409Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:11,
2025-06-05T23:28:58.7073631Z                    from /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:9:
2025-06-05T23:28:58.7080700Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.7096255Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.7110810Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7119408Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7125930Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<unsigned char>]’
2025-06-05T23:28:58.7131581Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.7133839Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.7134762Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.7135324Z      94 |     struct array
2025-06-05T23:28:58.7135569Z         |            ^~~~~
2025-06-05T23:28:58.7136469Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:58.7137286Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.7137682Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.7141542Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.7150020Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.7158868Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7167837Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<unsigned char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7179379Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<unsigned char>]’
2025-06-05T23:28:58.7281188Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.7285199Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.7287016Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.7288264Z      94 |     struct array
2025-06-05T23:28:58.7288688Z         |            ^~~~~
2025-06-05T23:28:58.7290385Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:58.7291923Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.7292599Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.7299689Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.7315029Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.7329585Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7341418Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7353671Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<signed char>]’
2025-06-05T23:28:58.7363256Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.7367089Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.7368764Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.7369751Z      94 |     struct array
2025-06-05T23:28:58.7370163Z         |            ^~~~~
2025-06-05T23:28:58.7371886Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:58.7373444Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.7374145Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.7381242Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.7397033Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.7412089Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7424540Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<signed char>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7436995Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<signed char>]’
2025-06-05T23:28:58.7446468Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.7450407Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.7452083Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.7453187Z      94 |     struct array
2025-06-05T23:28:58.7453607Z         |            ^~~~~
2025-06-05T23:28:58.7455249Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:58.7456746Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.7457449Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.7464030Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.7478940Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.7493229Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7504802Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7516878Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<short int>]’
2025-06-05T23:28:58.7526297Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.7530390Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.7531856Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.7532731Z      94 |     struct array
2025-06-05T23:28:58.7533239Z         |            ^~~~~
2025-06-05T23:28:58.7534779Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:58.7536423Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.7537085Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.7544379Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.7559745Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.7575024Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7587204Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<short int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7599879Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<short int>]’
2025-06-05T23:28:58.7609374Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.7613337Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.7614993Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.7616021Z      94 |     struct array
2025-06-05T23:28:58.7616442Z         |            ^~~~~
2025-06-05T23:28:58.7618069Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:58.7619608Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.7620267Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.7626806Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.7641472Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.7655460Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7667206Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7679211Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<int>]’
2025-06-05T23:28:58.7688709Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.7692675Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.7694372Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.7695362Z      94 |     struct array
2025-06-05T23:28:58.7695794Z         |            ^~~~~
2025-06-05T23:28:58.7697242Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:58.7698616Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.7699324Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.7706473Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.7722276Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.7737441Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7749563Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7761015Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<int>]’
2025-06-05T23:28:58.7769728Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.7773916Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.7775497Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.7776483Z      94 |     struct array
2025-06-05T23:28:58.7776925Z         |            ^~~~~
2025-06-05T23:28:58.7778548Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:58.7779967Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.7780762Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.7787559Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.7802389Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.7816695Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7828713Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7840984Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<long int>]’
2025-06-05T23:28:58.7850205Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.7854222Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.7855866Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.7856872Z      94 |     struct array
2025-06-05T23:28:58.7857306Z         |            ^~~~~
2025-06-05T23:28:58.7858892Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:58.7860504Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.7861238Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.7868445Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.7884598Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.7899948Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7912390Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<long int>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7924818Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<long int>]’
2025-06-05T23:28:58.7934533Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.7939096Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.7941106Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.7942106Z      94 |     struct array
2025-06-05T23:28:58.7942684Z         |            ^~~~~
2025-06-05T23:28:58.7943762Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:58.7944735Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.7945291Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.7949355Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.7958985Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.7966555Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7973193Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.7980263Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<float>]’
2025-06-05T23:28:58.7985819Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.7988117Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.7989147Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.7989750Z      94 |     struct array
2025-06-05T23:28:58.7989983Z         |            ^~~~~
2025-06-05T23:28:58.7991059Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:58.7991897Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.7992335Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.7996646Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.8005666Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.8014259Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8023213Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<float>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8030937Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<float>]’
2025-06-05T23:28:58.8036973Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.8039636Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.8040638Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.8041546Z      94 |     struct array
2025-06-05T23:28:58.8041850Z         |            ^~~~~
2025-06-05T23:28:58.8043188Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:58.8044099Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.8044708Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.8049303Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.8058638Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.8068030Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8078611Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8087549Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<double>]’
2025-06-05T23:28:58.8095203Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.8098895Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.8100725Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.8101706Z      94 |     struct array
2025-06-05T23:28:58.8102104Z         |            ^~~~~
2025-06-05T23:28:58.8103666Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:58.8105110Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.8105788Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.8112458Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.8126969Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.8134650Z   [ 38%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_permute_copy.cpp.o
2025-06-05T23:28:58.8139060Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8149071Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<double>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8157746Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<double>]’
2025-06-05T23:28:58.8166342Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.8170112Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.8171491Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.8172103Z      94 |     struct array
2025-06-05T23:28:58.8172356Z         |            ^~~~~
2025-06-05T23:28:58.8173429Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:58.8174657Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.8175046Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.8180978Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.8195289Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.8209010Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8220179Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8232726Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<bool>]’
2025-06-05T23:28:58.8239968Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.8242628Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.8243518Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.8244444Z      94 |     struct array
2025-06-05T23:28:58.8244826Z         |            ^~~~~
2025-06-05T23:28:58.8245684Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:58.8246759Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.8247163Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.8252385Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.8265396Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.8278808Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = std::not_equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8289757Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = std::not_equal_to<bool>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8296396Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = std::not_equal_to<bool>]’
2025-06-05T23:28:58.8303712Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:47:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.8307658Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:28:58.8309125Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:28:58.8310059Z      94 |     struct array
2025-06-05T23:28:58.8310455Z         |            ^~~~~
2025-06-05T23:28:58.8311904Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:28:58.8313231Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.8313885Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.8322064Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.8340128Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.8358154Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8373929Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8389702Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.8400972Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.8405088Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:58.8406810Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.8407894Z      94 |     struct array
2025-06-05T23:28:58.8408325Z         |            ^~~~~
2025-06-05T23:28:58.8410031Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:58.8411678Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.8412396Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.8421654Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.8441492Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.8460423Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8475451Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8491638Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.8503172Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.8507213Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:58.8508882Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.8509968Z      94 |     struct array
2025-06-05T23:28:58.8510390Z         |            ^~~~~
2025-06-05T23:28:58.8512166Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:58.8513760Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.8514476Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.8523210Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.8541439Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.8559539Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8575114Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8591125Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.8602415Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.8606387Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:58.8608051Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.8609091Z      94 |     struct array
2025-06-05T23:28:58.8609527Z         |            ^~~~~
2025-06-05T23:28:58.8611179Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:58.8612800Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.8613597Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.8622657Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.8642122Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.8661219Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8676887Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8692894Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.8704300Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.8708415Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:58.8710093Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.8711167Z      94 |     struct array
2025-06-05T23:28:58.8711589Z         |            ^~~~~
2025-06-05T23:28:58.8713263Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:58.8714831Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.8715542Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.8724188Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.8743204Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.8760804Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8776183Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8792104Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.8803274Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.8807397Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:58.8809076Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.8810097Z      94 |     struct array
2025-06-05T23:28:58.8810524Z         |            ^~~~~
2025-06-05T23:28:58.8812148Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:58.8813777Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.8814505Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.8823762Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.8843341Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.8862126Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8878091Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8894031Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.8905204Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.8909207Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:58.8910864Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.8911903Z      94 |     struct array
2025-06-05T23:28:58.8912323Z         |            ^~~~~
2025-06-05T23:28:58.8913929Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:58.8915260Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.8915955Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.8924210Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.8941889Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.8959296Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8974535Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.8989981Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.9001296Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.9005281Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:58.9006907Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.9007880Z      94 |     struct array
2025-06-05T23:28:58.9008298Z         |            ^~~~~
2025-06-05T23:28:58.9009854Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:58.9011256Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.9011974Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.9021164Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.9040677Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.9058458Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9073810Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9089692Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.9100997Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.9105047Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:58.9106670Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.9107711Z      94 |     struct array
2025-06-05T23:28:58.9108145Z         |            ^~~~~
2025-06-05T23:28:58.9109641Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:58.9110983Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.9111685Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.9120193Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.9138851Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.9156222Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9171485Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9187452Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.9198608Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.9202685Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:58.9204357Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.9205392Z      94 |     struct array
2025-06-05T23:28:58.9205817Z         |            ^~~~~
2025-06-05T23:28:58.9207422Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:58.9208914Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.9209634Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.9218918Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.9238209Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.9249866Z   [ 38%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-1x16s4-minmax-fma3-broadcast.c.o
2025-06-05T23:28:58.9259657Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9274990Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9288642Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.9298568Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.9302104Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:58.9303797Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.9304713Z      94 |     struct array
2025-06-05T23:28:58.9305163Z         |            ^~~~~
2025-06-05T23:28:58.9306640Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:58.9308001Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.9308664Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.9316237Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.9335171Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.9354940Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9372645Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9390653Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.9403941Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.9408566Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:58.9410456Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.9411615Z      94 |     struct array
2025-06-05T23:28:58.9412103Z         |            ^~~~~
2025-06-05T23:28:58.9413850Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:58.9415466Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.9416295Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.9426811Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.9449559Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.9467268Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9475539Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9491313Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.9502282Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.9506111Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:58.9507799Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.9508788Z      94 |     struct array
2025-06-05T23:28:58.9509311Z         |            ^~~~~
2025-06-05T23:28:58.9510815Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:58.9512244Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.9512957Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.9520453Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.9530148Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.9539452Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9547279Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9562029Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.9573141Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.9577106Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:58.9578871Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.9579887Z      94 |     struct array
2025-06-05T23:28:58.9580305Z         |            ^~~~~
2025-06-05T23:28:58.9581877Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:58.9583268Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.9584026Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.9592800Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:58.9612152Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:58.9624731Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9639110Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9655128Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.9666104Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.9673549Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:58.9675325Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.9676328Z      94 |     struct array
2025-06-05T23:28:58.9676730Z         |            ^~~~~
2025-06-05T23:28:58.9678231Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:58.9679639Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.9680358Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.9688845Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:58.9706755Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:58.9724240Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9739662Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:58.9755700Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:58.9766931Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:58.9770976Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:58.9772737Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:58.9773814Z      94 |     struct array
2025-06-05T23:28:58.9774246Z         |            ^~~~~
2025-06-05T23:28:58.9775777Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:58.9777207Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:58.9777920Z         |                                                        ^~~~~~~~
2025-06-05T23:28:58.9786937Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.1588393Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.1606548Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.1622326Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.1637424Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBBF16; Op = torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.1648533Z   /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:85:3:   required from ‘executorch::runtime::etensor::Tensor& torch::executor::native::internal::comparison_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&) [with Comparison = std::not_equal_to; const char* op_name = (& op_name)]’
2025-06-05T23:28:59.1652439Z   /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:28:59.1654130Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.1655112Z      94 |     struct array
2025-06-05T23:28:59.1655554Z         |            ^~~~~
2025-06-05T23:28:59.1657017Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:28:59.1658429Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.1659095Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.1660775Z   [ 38%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-1x32-minmax-avx512f-broadcast.c.o
2025-06-05T23:28:59.1663003Z   [ 38%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-1x4-minmax-scalar.c.o
2025-06-05T23:28:59.1664958Z   [ 38%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_pixel_shuffle.cpp.o
2025-06-05T23:28:59.1666966Z   [ 38%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_pixel_unshuffle.cpp.o
2025-06-05T23:28:59.1668576Z   [ 38%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_pow.cpp.o
2025-06-05T23:28:59.1670012Z   [ 38%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_prod.cpp.o
2025-06-05T23:28:59.1672015Z   [ 39%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-1x4-relu-scalar.c.o
2025-06-05T23:28:59.1673879Z   [ 39%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_rand.cpp.o
2025-06-05T23:28:59.1675623Z   [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_randn.cpp.o
2025-06-05T23:28:59.1678580Z   [ 40%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-1x4-scalar.c.o
2025-06-05T23:28:59.1680623Z   [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_reciprocal.cpp.o
2025-06-05T23:28:59.1682511Z   [ 40%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-load1.c.o
2025-06-05T23:28:59.1684762Z   [ 40%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-2x4-minmax-scalar.c.o
2025-06-05T23:28:59.1686258Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:59.1686882Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:59.1687548Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:59.1688245Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:59.1689097Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:59.1690099Z                    from /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:11:
2025-06-05T23:28:59.1699122Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.1717677Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.1739490Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.1754996Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.1772060Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.1781302Z   /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:55:3:   required from here
2025-06-05T23:28:59.1783151Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.1784168Z      94 |     struct array
2025-06-05T23:28:59.1784600Z         |            ^~~~~
2025-06-05T23:28:59.1786082Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:59.1787319Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.1787902Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.1796678Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.1816673Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.1835497Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.1852161Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.1868685Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.1876864Z   /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:55:3:   required from here
2025-06-05T23:28:59.1878766Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.1879771Z      94 |     struct array
2025-06-05T23:28:59.1880194Z         |            ^~~~~
2025-06-05T23:28:59.1882074Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:59.1884458Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.1885133Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.1894174Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.1913327Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.1931884Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.1947877Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.1964651Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.1972669Z   /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:55:3:   required from here
2025-06-05T23:28:59.1974431Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.1975381Z      94 |     struct array
2025-06-05T23:28:59.1975790Z         |            ^~~~~
2025-06-05T23:28:59.1977384Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:59.1978841Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.1979544Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.1989727Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.2010032Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.2032697Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2048392Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2064582Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::pow_Tensor_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.2072326Z   /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:55:3:   required from here
2025-06-05T23:28:59.2074141Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.2075080Z      94 |     struct array
2025-06-05T23:28:59.2075521Z         |            ^~~~~
2025-06-05T23:28:59.2077078Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:59.2078530Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.2079226Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.2087438Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.2104389Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.2120514Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2134555Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2149122Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.2152767Z   /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:108:3:   required from here
2025-06-05T23:28:59.2153796Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.2154333Z      94 |     struct array
2025-06-05T23:28:59.2154595Z         |            ^~~~~
2025-06-05T23:28:59.2155448Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:59.2156211Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.2156677Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.2161095Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.2170376Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.2183914Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2198971Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2213635Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.2220471Z   /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:108:3:   required from here
2025-06-05T23:28:59.2222157Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.2223162Z      94 |     struct array
2025-06-05T23:28:59.2223579Z         |            ^~~~~
2025-06-05T23:28:59.2225128Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:59.2226577Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.2227243Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.2235008Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.2253056Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.2271615Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2285891Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2301030Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.2308136Z   /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:108:3:   required from here
2025-06-05T23:28:59.2309784Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.2310765Z      94 |     struct array
2025-06-05T23:28:59.2311188Z         |            ^~~~~
2025-06-05T23:28:59.2312703Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:59.2314153Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.2314850Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.2323239Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.2341649Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.2358845Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2373303Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2386815Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::pow_Tensor_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.2393877Z   /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:108:3:   required from here
2025-06-05T23:28:59.2395606Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.2396589Z      94 |     struct array
2025-06-05T23:28:59.2397149Z         |            ^~~~~
2025-06-05T23:28:59.2398645Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:59.2400007Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.2400701Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.2408421Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.2424448Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.2439804Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2451969Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2465817Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.2469752Z   /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:158:3:   required from here
2025-06-05T23:28:59.2470732Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.2471290Z      94 |     struct array
2025-06-05T23:28:59.2471532Z         |            ^~~~~
2025-06-05T23:28:59.2472357Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:59.2473267Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.2473671Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.2477989Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.2488044Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.2500053Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2510981Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2519226Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.2523131Z   /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:158:3:   required from here
2025-06-05T23:28:59.2524072Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.2524664Z      94 |     struct array
2025-06-05T23:28:59.2525000Z         |            ^~~~~
2025-06-05T23:28:59.2525891Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:59.2526765Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.2527208Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.2532201Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.2546096Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.2555111Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2562404Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.2569848Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.2573524Z   /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:158:3:   required from here
2025-06-05T23:28:59.2574406Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.2574963Z      94 |     struct array
2025-06-05T23:28:59.2575204Z         |            ^~~~~
2025-06-05T23:28:59.6371390Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:59.6372773Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.6373388Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.6379244Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.6391765Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.6403674Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.6412614Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.6421748Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::pow_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.6427017Z   /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:158:3:   required from here
2025-06-05T23:28:59.6428210Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.6429142Z      94 |     struct array
2025-06-05T23:28:59.6429526Z         |            ^~~~~
2025-06-05T23:28:59.6430525Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:28:59.6431584Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.6432032Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.6432952Z   [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_reflection_pad1d.cpp.o
2025-06-05T23:28:59.6433977Z   [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_reflection_pad2d.cpp.o
2025-06-05T23:28:59.6435250Z   [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_reflection_pad3d.cpp.o
2025-06-05T23:28:59.6436603Z   [ 40%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-2x4-relu-scalar.c.o
2025-06-05T23:28:59.6437755Z   [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_relu.cpp.o
2025-06-05T23:28:59.6438830Z   [ 40%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-2x4-scalar.c.o
2025-06-05T23:28:59.6440143Z   [ 40%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-4x16s4-minmax-fma3-broadcast.c.o
2025-06-05T23:28:59.6441823Z   [ 40%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-4x2-minmax-scalar.c.o
2025-06-05T23:28:59.6442912Z   [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_remainder.cpp.o
2025-06-05T23:28:59.6443742Z   [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_repeat.cpp.o
2025-06-05T23:28:59.6444718Z   [ 40%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-4x2-scalar.c.o
2025-06-05T23:28:59.6445745Z   [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_repeat_interleave.cpp.o
2025-06-05T23:28:59.6446654Z   [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_replication_pad1d.cpp.o
2025-06-05T23:28:59.6447703Z   [ 40%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-4x2c4-minmax-sse.c.o
2025-06-05T23:28:59.6449229Z   [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_replication_pad2d.cpp.o
2025-06-05T23:28:59.6450290Z   [ 40%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-4x4-minmax-scalar.c.o
2025-06-05T23:28:59.6451082Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:28:59.6451437Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:28:59.6451850Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:28:59.6452367Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:28:59.6453041Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:28:59.6453946Z                    from /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:11:
2025-06-05T23:28:59.6461570Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.6475904Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.6490049Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.6504927Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.6520828Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.6529048Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:28:59.6530970Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.6532073Z      94 |     struct array
2025-06-05T23:28:59.6532516Z         |            ^~~~~
2025-06-05T23:28:59.6534142Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:59.6535710Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.6536427Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.6545652Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.6565781Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.6585574Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.6602390Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.6619126Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.6627117Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:28:59.6629106Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.6630119Z      94 |     struct array
2025-06-05T23:28:59.6630551Z         |            ^~~~~
2025-06-05T23:28:59.6632416Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:28:59.6633944Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.6634662Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.6643714Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.6663449Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.6681889Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.6698170Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.6715067Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.6723022Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:28:59.6724808Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.6725878Z      94 |     struct array
2025-06-05T23:28:59.6726358Z         |            ^~~~~
2025-06-05T23:28:59.6728042Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:59.6729559Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.6730230Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.6739902Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.6760552Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.6780588Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.6797329Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.6813905Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.6821959Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:28:59.6823745Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.6824808Z      94 |     struct array
2025-06-05T23:28:59.6825237Z         |            ^~~~~
2025-06-05T23:28:59.6826906Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:28:59.6828503Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.6831255Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.6840404Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.6863491Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.6882041Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.6898211Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.6913482Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.6919864Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:28:59.6921525Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.6922355Z      94 |     struct array
2025-06-05T23:28:59.6922740Z         |            ^~~~~
2025-06-05T23:28:59.6924256Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:59.6925614Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.6926294Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.6935862Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.6999113Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.7018289Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7034844Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7051954Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.7059523Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:28:59.7061214Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.7062138Z      94 |     struct array
2025-06-05T23:28:59.7062546Z         |            ^~~~~
2025-06-05T23:28:59.7064106Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:28:59.7065468Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.7066178Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.7073521Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.7092101Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.7109186Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7120399Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7130184Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.7137177Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:28:59.7138896Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.7139838Z      94 |     struct array
2025-06-05T23:28:59.7140242Z         |            ^~~~~
2025-06-05T23:28:59.7141512Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:59.7142554Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.7143283Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.7150800Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.7167827Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.7183643Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7198868Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7215316Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.7222672Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:28:59.7224371Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.7225341Z      94 |     struct array
2025-06-05T23:28:59.7225760Z         |            ^~~~~
2025-06-05T23:28:59.7227141Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:28:59.7228386Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.7229281Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.7237854Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.7257002Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.7275007Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7291027Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7308035Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.7315982Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:28:59.7317674Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.7318713Z      94 |     struct array
2025-06-05T23:28:59.7319157Z         |            ^~~~~
2025-06-05T23:28:59.7320884Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:59.7322326Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.7323058Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.7332814Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.7353846Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.7373514Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7389522Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7401257Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.7405422Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:28:59.7406347Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.7406904Z      94 |     struct array
2025-06-05T23:28:59.7407137Z         |            ^~~~~
2025-06-05T23:28:59.7408031Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:28:59.7408835Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.7409221Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.7415780Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.7431884Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.7446278Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7458936Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7473413Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.7481155Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:28:59.7482899Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.7483739Z      94 |     struct array
2025-06-05T23:28:59.7483980Z         |            ^~~~~
2025-06-05T23:28:59.7484854Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:59.7485609Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.7486007Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.7493056Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.7512675Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.7530973Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7546328Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7563062Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.7571064Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:28:59.7572868Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.7573961Z      94 |     struct array
2025-06-05T23:28:59.7574393Z         |            ^~~~~
2025-06-05T23:28:59.7575917Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:28:59.7577352Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.7578079Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.7586593Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.7605397Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.7623683Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7639887Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7656700Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.7664568Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:28:59.7666299Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.7667254Z      94 |     struct array
2025-06-05T23:28:59.7667682Z         |            ^~~~~
2025-06-05T23:28:59.7669197Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:59.7670632Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.7671467Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.7680863Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.7697948Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.7712418Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7728869Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7744849Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Tensor_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE, CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.7752748Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:28:59.7754460Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:28:59.7755273Z      94 |     struct array
2025-06-05T23:28:59.7755648Z         |            ^~~~~
2025-06-05T23:28:59.7757055Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:28:59.7758319Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.7758978Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.7765786Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.7770749Z   [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_replication_pad3d.cpp.o
2025-06-05T23:28:59.7777051Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.7785790Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7795604Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7803918Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.7810143Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:28:59.7811667Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.7812785Z      94 |     struct array
2025-06-05T23:28:59.7813367Z         |            ^~~~~
2025-06-05T23:28:59.7815333Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:59.7816966Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.7817742Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.7827952Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.7849828Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.7868289Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7875958Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7888038Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.7895369Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:28:59.7897186Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.7898239Z      94 |     struct array
2025-06-05T23:28:59.7898648Z         |            ^~~~~
2025-06-05T23:28:59.7900394Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:28:59.7901889Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.7902553Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.7909806Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.7926015Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.7934882Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7942296Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7949781Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.7953450Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:28:59.7954539Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.7955178Z      94 |     struct array
2025-06-05T23:28:59.7955417Z         |            ^~~~~
2025-06-05T23:28:59.7956310Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:59.7957374Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.7957853Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.7963630Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.7973271Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.7982343Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7986157Z   [ 40%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-4x4-relu-scalar.c.o
2025-06-05T23:28:59.7991012Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.7998514Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.8002211Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:28:59.8003153Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.8003720Z      94 |     struct array
2025-06-05T23:28:59.8003954Z         |            ^~~~~
2025-06-05T23:28:59.8004831Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:28:59.8005646Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.8006030Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.8010290Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.8025548Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.8042327Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8056535Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8071132Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.8077999Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:28:59.8079731Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.8080766Z      94 |     struct array
2025-06-05T23:28:59.8081187Z         |            ^~~~~
2025-06-05T23:28:59.8082827Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:59.8084331Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.8085038Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.8093658Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.8111741Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.8129569Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8144234Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8158807Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.8166046Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:28:59.8167817Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.8168839Z      94 |     struct array
2025-06-05T23:28:59.8169269Z         |            ^~~~~
2025-06-05T23:28:59.8170857Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:28:59.8172462Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.8173266Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.8181017Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.8198338Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.8213623Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8227481Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8241707Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.8248828Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:28:59.8250635Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.8251595Z      94 |     struct array
2025-06-05T23:28:59.8252019Z         |            ^~~~~
2025-06-05T23:28:59.8253696Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:59.8255102Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.8255809Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.8256862Z   [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_roll.cpp.o
2025-06-05T23:28:59.8265351Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.8283442Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.8300916Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8315209Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8329936Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.8337163Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:28:59.8338894Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.8339883Z      94 |     struct array
2025-06-05T23:28:59.8340317Z         |            ^~~~~
2025-06-05T23:28:59.8341926Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:28:59.8343342Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.8344051Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.8352031Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.8369124Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.8385572Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8399861Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8414458Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.8421352Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:28:59.8423072Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.8424151Z      94 |     struct array
2025-06-05T23:28:59.8424577Z         |            ^~~~~
2025-06-05T23:28:59.8426130Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:59.8427545Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.8428243Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.8437047Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.8455321Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.8472735Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8486627Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8494428Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.8498085Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:28:59.8499070Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.8499631Z      94 |     struct array
2025-06-05T23:28:59.8499865Z         |            ^~~~~
2025-06-05T23:28:59.8500714Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:28:59.8501500Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.8501906Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.8506005Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.8514850Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.8527490Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8540977Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8555567Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.8562798Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:28:59.8564556Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.8565579Z      94 |     struct array
2025-06-05T23:28:59.8565987Z         |            ^~~~~
2025-06-05T23:28:59.8567474Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:59.8568869Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.8569563Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.8578054Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:28:59.8595504Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:28:59.8613022Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8626675Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8641255Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.8648285Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:28:59.8650025Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.8651036Z      94 |     struct array
2025-06-05T23:28:59.8651463Z         |            ^~~~~
2025-06-05T23:28:59.8653187Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:28:59.8654541Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:28:59.8655191Z         |                                                        ^~~~~~~~
2025-06-05T23:28:59.8663017Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:28:59.8679900Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:28:59.8696429Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8710555Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:28:59.8724958Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:28:59.8732254Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:28:59.8734082Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:28:59.8735101Z      94 |     struct array
2025-06-05T23:28:59.8735482Z         |            ^~~~~
2025-06-05T23:29:00.0660630Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:29:00.0662410Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.0663133Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.0671767Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:00.0690036Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:00.0707911Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.0715231Z   [ 40%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-4x4-scalar.c.o
2025-06-05T23:29:00.0724518Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.0738913Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::remainder_Scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(CTYPE_COMPUTE)>]’
2025-06-05T23:29:00.0745808Z   /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:29:00.0747555Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.0748700Z      94 |     struct array
2025-06-05T23:29:00.0749132Z         |            ^~~~~
2025-06-05T23:29:00.0750707Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:29:00.0752125Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.0752834Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.0753879Z   [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_round.cpp.o
2025-06-05T23:29:00.0755424Z   [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_rsqrt.cpp.o
2025-06-05T23:29:00.0756959Z   [ 41%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_rsub.cpp.o
2025-06-05T23:29:00.0758690Z   [ 41%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_scalar_tensor.cpp.o
2025-06-05T23:29:00.0760747Z   [ 41%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-load1.c.o
2025-06-05T23:29:00.0762692Z   [ 41%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_scatter.cpp.o
2025-06-05T23:29:00.0764312Z   [ 41%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_scatter_add.cpp.o
2025-06-05T23:29:00.0765931Z   [ 41%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_select_copy.cpp.o
2025-06-05T23:29:00.0767610Z   [ 41%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_select_scatter.cpp.o
2025-06-05T23:29:00.0768830Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:29:00.0769488Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:29:00.0770201Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:29:00.0770901Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:29:00.0771796Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:29:00.0772856Z                    from /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:9:
2025-06-05T23:29:00.0781534Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:00.0799327Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:00.0816538Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.0834010Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.0849319Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>]’
2025-06-05T23:29:00.0856841Z   /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:29:00.0858579Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.0859640Z      94 |     struct array
2025-06-05T23:29:00.0860023Z         |            ^~~~~
2025-06-05T23:29:00.0861761Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:29:00.0863342Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.0864024Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.0872753Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:00.0891025Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:00.0907814Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.0919610Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.0934827Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9)>]’
2025-06-05T23:29:00.0941904Z   /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:29:00.0943561Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.0944561Z      94 |     struct array
2025-06-05T23:29:00.0944974Z         |            ^~~~~
2025-06-05T23:29:00.0946626Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:29:00.0948018Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.0948703Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.0956404Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:00.0973562Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:00.1003469Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1011196Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1019379Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>]’
2025-06-05T23:29:00.1023199Z   /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:29:00.1024115Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.1024668Z      94 |     struct array
2025-06-05T23:29:00.1024916Z         |            ^~~~~
2025-06-05T23:29:00.1025780Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:29:00.1026592Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.1027019Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.1032366Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:00.1046504Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:00.1063129Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1077233Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1086197Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:10)>]’
2025-06-05T23:29:00.1090260Z   /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:29:00.1091178Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.1091823Z      94 |     struct array
2025-06-05T23:29:00.1092061Z         |            ^~~~~
2025-06-05T23:29:00.1093141Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:29:00.1093963Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.1094351Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.1100665Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:00.1117599Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:00.1134089Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1148243Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1166312Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>]’
2025-06-05T23:29:00.1175329Z   /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:29:00.1177709Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.1179013Z      94 |     struct array
2025-06-05T23:29:00.1179741Z         |            ^~~~~
2025-06-05T23:29:00.1182845Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:29:00.1184660Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.1185515Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.1195059Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:00.1210493Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:00.1219905Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1228130Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1237103Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>]’
2025-06-05T23:29:00.1240981Z   /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:29:00.1242011Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.1242577Z      94 |     struct array
2025-06-05T23:29:00.1242814Z         |            ^~~~~
2025-06-05T23:29:00.1243756Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:29:00.1244545Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.1244942Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.1249468Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:00.1259668Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:00.1268687Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1278367Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1290119Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>]’
2025-06-05T23:29:00.1295890Z   /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:29:00.1297187Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.1297992Z      94 |     struct array
2025-06-05T23:29:00.1298322Z         |            ^~~~~
2025-06-05T23:29:00.1299488Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:29:00.1300577Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.1301138Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.1308162Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:00.1322724Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:00.1341138Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1355741Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1369743Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>]’
2025-06-05T23:29:00.1375197Z   /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:29:00.1376137Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.1376663Z      94 |     struct array
2025-06-05T23:29:00.1377010Z         |            ^~~~~
2025-06-05T23:29:00.1377812Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:29:00.1378673Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.1379307Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.1386563Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:00.1404037Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:00.1421341Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1436090Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1451071Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>]’
2025-06-05T23:29:00.1456859Z   /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:29:00.1458560Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.1459654Z      94 |     struct array
2025-06-05T23:29:00.1460052Z         |            ^~~~~
2025-06-05T23:29:00.1461712Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:29:00.1463237Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.1463919Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.1472760Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:00.1491441Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:00.1509435Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1524456Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1539590Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13)>]’
2025-06-05T23:29:00.1547093Z   /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:29:00.1548845Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.1549870Z      94 |     struct array
2025-06-05T23:29:00.1550303Z         |            ^~~~~
2025-06-05T23:29:00.1551911Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:29:00.1553432Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.1554151Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.1562347Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:00.1579964Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:00.1596468Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1611050Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1625860Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>]’
2025-06-05T23:29:00.1632750Z   /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:29:00.1634471Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.1635493Z      94 |     struct array
2025-06-05T23:29:00.1635928Z         |            ^~~~~
2025-06-05T23:29:00.1637468Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:29:00.1638930Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.1639641Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.1648293Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:00.1667110Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:00.1684998Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1699609Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1714599Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:14)>]’
2025-06-05T23:29:00.1722044Z   /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:29:00.1723743Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.1724769Z      94 |     struct array
2025-06-05T23:29:00.1725180Z         |            ^~~~~
2025-06-05T23:29:00.1726733Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:29:00.1728212Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.1729136Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.1737597Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:00.1755303Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:00.1772379Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1787043Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1801952Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>]’
2025-06-05T23:29:00.1809109Z   /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:29:00.1810759Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.1811758Z      94 |     struct array
2025-06-05T23:29:00.1812165Z         |            ^~~~~
2025-06-05T23:29:00.1813828Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:29:00.1815227Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.1815910Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.1824724Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:00.1846488Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:00.1864798Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1879769Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.1894969Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::rsub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15)>]’
2025-06-05T23:29:00.1901748Z   /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:29:00.1903328Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.1904330Z      94 |     struct array
2025-06-05T23:29:00.1904762Z         |            ^~~~~
2025-06-05T23:29:00.1906309Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:29:00.1907839Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.1908564Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.3257441Z   [ 41%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx-broadcast.c.o
2025-06-05T23:29:00.3259933Z   [ 41%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-5x16-minmax-fma3-broadcast.c.o
2025-06-05T23:29:00.3262730Z   [ 43%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-gemm/gen/f32-gemm-7x32-minmax-avx512f-broadcast.c.o
2025-06-05T23:29:00.3264747Z   [ 43%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_sigmoid.cpp.o
2025-06-05T23:29:00.3266627Z   [ 43%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p4.c.o
2025-06-05T23:29:00.3268585Z   [ 43%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_sign.cpp.o
2025-06-05T23:29:00.3270114Z   [ 43%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_sin.cpp.o
2025-06-05T23:29:00.3271695Z   [ 43%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_sinh.cpp.o
2025-06-05T23:29:00.3272948Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:29:00.3273571Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:29:00.3274227Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:29:00.3274902Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:29:00.3275863Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:29:00.3277162Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:29:00.3278298Z                    from /pytorch/executorch/kernels/portable/cpu/op_sigmoid.cpp:11:
2025-06-05T23:29:00.3285675Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:00.3300762Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:00.3315177Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.3327168Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.3340438Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>]’
2025-06-05T23:29:00.3345800Z   /pytorch/executorch/kernels/portable/cpu/op_sigmoid.cpp:47:3:   required from here
2025-06-05T23:29:00.3346906Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.3347447Z      94 |     struct array
2025-06-05T23:29:00.3347698Z         |            ^~~~~
2025-06-05T23:29:00.3348573Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:29:00.3349452Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.3349858Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.3354123Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:00.3363323Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:00.3372345Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.3379590Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.3386275Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11)>]’
2025-06-05T23:29:00.3390314Z   /pytorch/executorch/kernels/portable/cpu/op_sigmoid.cpp:47:3:   required from here
2025-06-05T23:29:00.3391283Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.3391878Z      94 |     struct array
2025-06-05T23:29:00.3392126Z         |            ^~~~~
2025-06-05T23:29:00.3393056Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:29:00.3393832Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.3394291Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.3398083Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:00.3406526Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:00.3414617Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.3421474Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.6746159Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>]’
2025-06-05T23:29:00.6752884Z   /pytorch/executorch/kernels/portable/cpu/op_sigmoid.cpp:47:3:   required from here
2025-06-05T23:29:00.6754652Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.6755718Z      94 |     struct array
2025-06-05T23:29:00.6756139Z         |            ^~~~~
2025-06-05T23:29:00.6757858Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:29:00.6759343Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.6760048Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.6767750Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:00.6784294Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:00.6801447Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.6814234Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:00.6827255Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::FLOATHBF16; Op = torch::executor::native::sigmoid_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, torch::executor::native::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12)>]’
2025-06-05T23:29:00.6836098Z   /pytorch/executorch/kernels/portable/cpu/op_sigmoid.cpp:47:3:   required from here
2025-06-05T23:29:00.6837650Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:29:00.6838487Z      94 |     struct array
2025-06-05T23:29:00.6838925Z         |            ^~~~~
2025-06-05T23:29:00.6840376Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:29:00.6841639Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:00.6842355Z         |                                                        ^~~~~~~~
2025-06-05T23:29:00.6843425Z   [ 43%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_slice_copy.cpp.o
2025-06-05T23:29:00.6845143Z   [ 43%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-sse-p8.c.o
2025-06-05T23:29:00.6846605Z   [ 43%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c2.c.o
2025-06-05T23:29:00.6847931Z   [ 43%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-ibilinear/gen/f32-ibilinear-sse-c8.c.o
2025-06-05T23:29:00.6849415Z   [ 43%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx-broadcast.c.o
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2025-06-05T23:29:01.1563674Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:29:01.1564345Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:29:01.1564990Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:29:01.1565865Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:29:01.1566782Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:29:01.1567771Z                    from /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:9:
2025-06-05T23:29:01.1577288Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:01.1596798Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:01.1615095Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.1632727Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.1650064Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:29:01.1658248Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:29:01.1659998Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:29:01.1660947Z      94 |     struct array
2025-06-05T23:29:01.1661318Z         |            ^~~~~
2025-06-05T23:29:01.1663080Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:29:01.1664583Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.1665315Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.1674972Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:01.1695345Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:01.1715324Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.1731764Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.1748879Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:29:01.1757179Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:29:01.1758982Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:29:01.1760191Z      94 |     struct array
2025-06-05T23:29:01.1760604Z         |            ^~~~~
2025-06-05T23:29:01.1762359Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 2>::_M_elems [2]’
2025-06-05T23:29:01.1763922Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.1764636Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.1774239Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:01.1793924Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:01.1813039Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.1833639Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.1851220Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:29:01.1859420Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:29:01.1861134Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:29:01.1862196Z      94 |     struct array
2025-06-05T23:29:01.1862661Z         |            ^~~~~
2025-06-05T23:29:01.1864346Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:29:01.1865888Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.1866587Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.1876349Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:01.1897185Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:01.1916925Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.1933761Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.1951039Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:11, auto:12)>]’
2025-06-05T23:29:01.1959461Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:29:01.1961200Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:29:01.1962247Z      94 |     struct array
2025-06-05T23:29:01.1962675Z         |            ^~~~~
2025-06-05T23:29:01.1964354Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 2>::_M_elems [2]’
2025-06-05T23:29:01.1965863Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.1978972Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.1988215Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:01.2007869Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:01.2026732Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2043725Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2060905Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:29:01.2069005Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:29:01.2070940Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:29:01.2071992Z      94 |     struct array
2025-06-05T23:29:01.2072418Z         |            ^~~~~
2025-06-05T23:29:01.2074063Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:29:01.2075601Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.2076270Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.2086107Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:01.2107275Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:01.2127261Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2144279Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2161796Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:13, auto:14)>]’
2025-06-05T23:29:01.2170086Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:29:01.2171947Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:29:01.2173054Z      94 |     struct array
2025-06-05T23:29:01.2173440Z         |            ^~~~~
2025-06-05T23:29:01.2175110Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 2>::_M_elems [2]’
2025-06-05T23:29:01.2176624Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.2177338Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.2186302Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:01.2205850Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:01.2224675Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2241177Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2257500Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:29:01.2265541Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:29:01.2267259Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:29:01.2268220Z      94 |     struct array
2025-06-05T23:29:01.2268615Z         |            ^~~~~
2025-06-05T23:29:01.2269853Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:29:01.2271293Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.2272004Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.2280934Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:01.2295661Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:01.2306256Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2315336Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2324608Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16)>]’
2025-06-05T23:29:01.2329386Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:29:01.2330381Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:29:01.2331017Z      94 |     struct array
2025-06-05T23:29:01.2331256Z         |            ^~~~~
2025-06-05T23:29:01.2332216Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:29:01.2333145Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.2333701Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.2339025Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:01.2349558Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:01.2359891Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2373299Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2386772Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>]’
2025-06-05T23:29:01.2394529Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:29:01.2396232Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:29:01.2397125Z      94 |     struct array
2025-06-05T23:29:01.2397511Z         |            ^~~~~
2025-06-05T23:29:01.2399002Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:29:01.2400526Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.2401222Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.2410542Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:01.2429819Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:01.2448435Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2464298Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2480388Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:17, auto:18)>]’
2025-06-05T23:29:01.2487594Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:29:01.2489223Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:29:01.2490160Z      94 |     struct array
2025-06-05T23:29:01.2490538Z         |            ^~~~~
2025-06-05T23:29:01.2492042Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 2>::_M_elems [2]’
2025-06-05T23:29:01.2493401Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.2494054Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.2501825Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:01.2518783Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:01.2536066Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2551112Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2565974Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>]’
2025-06-05T23:29:01.2573297Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:29:01.2574794Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:29:01.2575470Z      94 |     struct array
2025-06-05T23:29:01.2575713Z         |            ^~~~~
2025-06-05T23:29:01.2576552Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:29:01.2577479Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.2578054Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.2583249Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:01.2596508Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:01.2607887Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2618819Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2634052Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:19, auto:20)>]’
2025-06-05T23:29:01.2638494Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:29:01.2639765Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:29:01.2640311Z      94 |     struct array
2025-06-05T23:29:01.2640565Z         |            ^~~~~
2025-06-05T23:29:01.2641534Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:29:01.2642304Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.2642707Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.2647928Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:01.2661226Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:01.2673702Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2682679Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2691701Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>]’
2025-06-05T23:29:01.2696066Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:29:01.2696982Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:29:01.2697555Z      94 |     struct array
2025-06-05T23:29:01.2697852Z         |            ^~~~~
2025-06-05T23:29:01.2698723Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:29:01.2699510Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.2699909Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.2705212Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:01.2716112Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:01.2727537Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2737852Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2747957Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::REALHBF16; Op = torch::executor::native::sub_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22)>]’
2025-06-05T23:29:01.2752653Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:29:01.2753681Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:29:01.2754335Z      94 |     struct array
2025-06-05T23:29:01.2754611Z         |            ^~~~~
2025-06-05T23:29:01.2755482Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:29:01.2756454Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.2756861Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.2761416Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:01.2771866Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:01.2783555Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2792976Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2803273Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23)>]’
2025-06-05T23:29:01.2808508Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:29:01.2810287Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:29:01.2811367Z      94 |     struct array
2025-06-05T23:29:01.2811807Z         |            ^~~~~
2025-06-05T23:29:01.2813908Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:29:01.2815514Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.2816283Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.2824996Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:01.2841652Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:01.2857354Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2868886Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2877309Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:23)>]’
2025-06-05T23:29:01.2884314Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:29:01.2886047Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:29:01.2887093Z      94 |     struct array
2025-06-05T23:29:01.2887607Z         |            ^~~~~
2025-06-05T23:29:01.2889273Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 1>::_M_elems [1]’
2025-06-05T23:29:01.2890694Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.2891354Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.2899094Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:01.2914616Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:01.2924645Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2939181Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2954656Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24)>]’
2025-06-05T23:29:01.2960904Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:29:01.2961870Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:29:01.2962444Z      94 |     struct array
2025-06-05T23:29:01.2962680Z         |            ^~~~~
2025-06-05T23:29:01.2963561Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:29:01.2964378Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.2964766Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.2969372Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:01.2979152Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:01.2988383Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.2996136Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3004144Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24)>]’
2025-06-05T23:29:01.3010375Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:29:01.3011914Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:29:01.3012879Z      94 |     struct array
2025-06-05T23:29:01.3013337Z         |            ^~~~~
2025-06-05T23:29:01.3014866Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 1>::_M_elems [1]’
2025-06-05T23:29:01.3016327Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.3017104Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.3025210Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:01.3041120Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:01.3056468Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3069826Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3083950Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>]’
2025-06-05T23:29:01.3091149Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:29:01.3093029Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:29:01.3094062Z      94 |     struct array
2025-06-05T23:29:01.3094479Z         |            ^~~~~
2025-06-05T23:29:01.3096050Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:29:01.3097623Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.3098340Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.3106926Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:01.3125190Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:01.3142473Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3157362Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3172563Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:25)>]’
2025-06-05T23:29:01.3179988Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:29:01.3181700Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:29:01.3182746Z      94 |     struct array
2025-06-05T23:29:01.3183174Z         |            ^~~~~
2025-06-05T23:29:01.3184726Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 1>::_M_elems [1]’
2025-06-05T23:29:01.3186247Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.3186958Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.3195144Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:01.3212775Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:01.3229294Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3243645Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3258632Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>]’
2025-06-05T23:29:01.3265942Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:29:01.3267621Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:29:01.3268606Z      94 |     struct array
2025-06-05T23:29:01.3269032Z         |            ^~~~~
2025-06-05T23:29:01.3270538Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:29:01.3271979Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.3272709Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.3281074Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:01.3299952Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:01.3317886Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3332067Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3346087Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:26)>]’
2025-06-05T23:29:01.3352422Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:29:01.3354106Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:29:01.3355007Z      94 |     struct array
2025-06-05T23:29:01.3355356Z         |            ^~~~~
2025-06-05T23:29:01.3356629Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:29:01.3357898Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.3358510Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.3365452Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:01.3385117Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:01.3404491Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3418801Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3433798Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>]’
2025-06-05T23:29:01.3440787Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:29:01.3442565Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:29:01.3443614Z      94 |     struct array
2025-06-05T23:29:01.3444004Z         |            ^~~~~
2025-06-05T23:29:01.3445536Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:29:01.3446865Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.3447472Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.3455936Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:01.3474270Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:01.3490938Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3502868Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3506928Z   [ 45%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_to_copy.cpp.o
2025-06-05T23:29:01.3511561Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27)>]’
2025-06-05T23:29:01.3515355Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:29:01.3516245Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:29:01.3516787Z      94 |     struct array
2025-06-05T23:29:01.3517031Z         |            ^~~~~
2025-06-05T23:29:01.3517867Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 1>::_M_elems [1]’
2025-06-05T23:29:01.3518696Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.3519098Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.3523272Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:01.3536095Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:01.3552520Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3564803Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3579862Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>]’
2025-06-05T23:29:01.3587099Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:29:01.3588610Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:29:01.3589153Z      94 |     struct array
2025-06-05T23:29:01.3589404Z         |            ^~~~~
2025-06-05T23:29:01.3590228Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:29:01.3591088Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.3591526Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.3596021Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:01.3606018Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:01.3621243Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3636028Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3651061Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:28)>]’
2025-06-05T23:29:01.3657790Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:29:01.3659557Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:29:01.3660587Z      94 |     struct array
2025-06-05T23:29:01.3660997Z         |            ^~~~~
2025-06-05T23:29:01.3662551Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:29:01.3663989Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.3664694Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.3672752Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:01.3690211Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:01.3706979Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3721378Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.3736624Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>]’
2025-06-05T23:29:01.3743787Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:29:01.3745425Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:29:01.3746437Z      94 |     struct array
2025-06-05T23:29:01.3746869Z         |            ^~~~~
2025-06-05T23:29:01.3748405Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:29:01.3749858Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.3750553Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.3758909Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:01.8852779Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:01.8866040Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.8874361Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:01.8887095Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:280:47:   required from ‘void torch::executor::native::utils::internal::apply_unitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::sub_scalar_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Scalar&, const executorch::runtime::etensor::Scalar&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:29)>]’
2025-06-05T23:29:01.8891532Z   /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:29:01.8892569Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:29:01.8893323Z      94 |     struct array
2025-06-05T23:29:01.8893581Z         |            ^~~~~
2025-06-05T23:29:01.8894511Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:29:01.8895292Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:01.8895740Z         |                                                        ^~~~~~~~
2025-06-05T23:29:01.8896434Z   [ 45%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_topk.cpp.o
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2025-06-05T23:29:02.2036939Z   [ 48%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_view_copy.cpp.o
2025-06-05T23:29:02.2038508Z   [ 48%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_where.cpp.o
2025-06-05T23:29:02.2040084Z   [ 48%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_zeros.cpp.o
2025-06-05T23:29:02.2042174Z   [ 48%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-3x16-minmax-avx2-broadcast.c.o
2025-06-05T23:29:02.2044830Z   [ 48%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-3x16-minmax-fma3-broadcast.c.o
2025-06-05T23:29:02.2047525Z   [ 48%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-4x4-minmax-scalar.c.o
2025-06-05T23:29:02.2049093Z   In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:29:02.2049755Z                    from /usr/include/c++/9/functional:54,
2025-06-05T23:29:02.2050454Z                    from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:29:02.2051176Z                    from /usr/include/c++/9/algorithm:71,
2025-06-05T23:29:02.2052164Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/irange.h:7,
2025-06-05T23:29:02.2053573Z                    from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:29:02.2054650Z                    from /pytorch/executorch/kernels/portable/cpu/op_where.cpp:9:
2025-06-05T23:29:02.2065222Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10, auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:02.2086714Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10, auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:02.2107259Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; CTYPE_OUT = unsigned char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10, auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2125998Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10, auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2148442Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10, auto:11)>]’
2025-06-05T23:29:02.2157755Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.2159493Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.2160578Z      94 |     struct array
2025-06-05T23:29:02.2160994Z         |            ^~~~~
2025-06-05T23:29:02.2162746Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 3>::_M_elems [3]’
2025-06-05T23:29:02.2164307Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.2165018Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.2175859Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10, auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:02.2185728Z   [ 48%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-4x8-minmax-sse41-dup.c.o
2025-06-05T23:29:02.2200788Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10, auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:02.2222199Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10, auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2241477Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10, auto:11)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2261429Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = unsigned char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:9, auto:10, auto:11)>]’
2025-06-05T23:29:02.2270894Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.2272599Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.2273688Z      94 |     struct array
2025-06-05T23:29:02.2274125Z         |            ^~~~~
2025-06-05T23:29:02.2275942Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘unsigned char std::array<unsigned char, 3>::_M_elems [3]’
2025-06-05T23:29:02.2277554Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.2278244Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.2287304Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12, auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:02.2302855Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12, auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:02.2317433Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; CTYPE_OUT = signed char; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12, auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2330543Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12, auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2347593Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12, auto:13, auto:14)>]’
2025-06-05T23:29:02.2356871Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.2358617Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.2359836Z      94 |     struct array
2025-06-05T23:29:02.2360258Z         |            ^~~~~
2025-06-05T23:29:02.2361983Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 3>::_M_elems [3]’
2025-06-05T23:29:02.2363501Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.2364227Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.2375314Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12, auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:02.2398204Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12, auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:02.2419809Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12, auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2441490Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12, auto:13, auto:14)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2460601Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = signed char; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:12, auto:13, auto:14)>]’
2025-06-05T23:29:02.2469918Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.2471661Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.2472710Z      94 |     struct array
2025-06-05T23:29:02.2473144Z         |            ^~~~~
2025-06-05T23:29:02.2474955Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘signed char std::array<signed char, 3>::_M_elems [3]’
2025-06-05T23:29:02.2476401Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.2477128Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.2487303Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16, auto:17)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:02.2509349Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16, auto:17)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:02.2530209Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; CTYPE_OUT = short int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16, auto:17)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2548696Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16, auto:17)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2565167Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16, auto:17)>]’
2025-06-05T23:29:02.2571597Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.2572880Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.2573703Z      94 |     struct array
2025-06-05T23:29:02.2574076Z         |            ^~~~~
2025-06-05T23:29:02.2575229Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 3>::_M_elems [3]’
2025-06-05T23:29:02.2576265Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.2576780Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.2584260Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16, auto:17)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:02.2600024Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16, auto:17)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:02.2617258Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16, auto:17)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2635361Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16, auto:17)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2653933Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = short int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:15, auto:16, auto:17)>]’
2025-06-05T23:29:02.2663538Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.2665301Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.2666334Z      94 |     struct array
2025-06-05T23:29:02.2666775Z         |            ^~~~~
2025-06-05T23:29:02.2668396Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘short int std::array<short int, 3>::_M_elems [3]’
2025-06-05T23:29:02.2669907Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.2670613Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.2680746Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:18, auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:02.2702179Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:18, auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:02.2722516Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; CTYPE_OUT = int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:18, auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2741687Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:18, auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2760420Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:18, auto:19, auto:20)>]’
2025-06-05T23:29:02.2769485Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.2771121Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.2772128Z      94 |     struct array
2025-06-05T23:29:02.2772543Z         |            ^~~~~
2025-06-05T23:29:02.2774156Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 3>::_M_elems [3]’
2025-06-05T23:29:02.2775501Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.2776184Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.2786846Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:18, auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:02.2809281Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:18, auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:02.2826590Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:18, auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2839883Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:18, auto:19, auto:20)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2853471Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:18, auto:19, auto:20)>]’
2025-06-05T23:29:02.2859844Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.2861030Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.2861714Z      94 |     struct array
2025-06-05T23:29:02.2862054Z         |            ^~~~~
2025-06-05T23:29:02.2863103Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 3>::_M_elems [3]’
2025-06-05T23:29:02.2864096Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.2864609Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.2873077Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22, auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:02.2894658Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22, auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:02.2911122Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; CTYPE_OUT = long int; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22, auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2921824Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22, auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.2932002Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22, auto:23)>]’
2025-06-05T23:29:02.2937167Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.2938109Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.2938670Z      94 |     struct array
2025-06-05T23:29:02.2938915Z         |            ^~~~~
2025-06-05T23:29:02.2939838Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 3>::_M_elems [3]’
2025-06-05T23:29:02.2940643Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.2941054Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.2950326Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22, auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:02.2972530Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22, auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:02.2989543Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22, auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.3008451Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22, auto:23)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.3027433Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = long int; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:21, auto:22, auto:23)>]’
2025-06-05T23:29:02.3036817Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.3038677Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.3039721Z      94 |     struct array
2025-06-05T23:29:02.3040159Z         |            ^~~~~
2025-06-05T23:29:02.3041717Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘long int std::array<long int, 3>::_M_elems [3]’
2025-06-05T23:29:02.3043218Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.3044076Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.3054360Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24, auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:02.3075297Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24, auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:02.3087745Z   [ 48%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc8w-gemm/gen/f32-qc4w-gemm-1x32-minmax-avx512skx-broadcast.c.o
2025-06-05T23:29:02.3098008Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; CTYPE_OUT = float; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24, auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.3116614Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24, auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.3135752Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24, auto:25, auto:26)>]’
2025-06-05T23:29:02.3144910Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.3146589Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.3147619Z      94 |     struct array
2025-06-05T23:29:02.3148183Z         |            ^~~~~
2025-06-05T23:29:02.3149701Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 3>::_M_elems [3]’
2025-06-05T23:29:02.3151124Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.3151840Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.3162421Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24, auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:02.3185563Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24, auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:02.3200898Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24, auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.3210668Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24, auto:25, auto:26)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.3220660Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = float; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:24, auto:25, auto:26)>]’
2025-06-05T23:29:02.3225431Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.3226329Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.3226888Z      94 |     struct array
2025-06-05T23:29:02.3227128Z         |            ^~~~~
2025-06-05T23:29:02.3227959Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 3>::_M_elems [3]’
2025-06-05T23:29:02.3228930Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.3229343Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.3234834Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27, auto:28, auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:02.3239984Z   [ 48%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/pattern/unary_ufunc_realhb_to_bool.cpp.o
2025-06-05T23:29:02.3247309Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27, auto:28, auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:02.3258260Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; CTYPE_OUT = double; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27, auto:28, auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.3267842Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27, auto:28, auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.3277618Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27, auto:28, auto:29)>]’
2025-06-05T23:29:02.3283993Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.3284962Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.3285520Z      94 |     struct array
2025-06-05T23:29:02.3285770Z         |            ^~~~~
2025-06-05T23:29:02.3286616Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 3>::_M_elems [3]’
2025-06-05T23:29:02.3287377Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.3287823Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.3294287Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27, auto:28, auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:02.3307226Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27, auto:28, auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:02.3319634Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27, auto:28, auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.3332089Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27, auto:28, auto:29)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.3348402Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = double; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:27, auto:28, auto:29)>]’
2025-06-05T23:29:02.3358446Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.3360323Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.3361513Z      94 |     struct array
2025-06-05T23:29:02.3361924Z         |            ^~~~~
2025-06-05T23:29:02.3363510Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 3>::_M_elems [3]’
2025-06-05T23:29:02.3364796Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.3365423Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.3372485Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30, auto:31, auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)> [with auto:3 = long int; auto:4 = long int]’:
2025-06-05T23:29:02.3386872Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30, auto:31, auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:3, auto:4)>]’
2025-06-05T23:29:02.3398332Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void torch::executor::native::utils::internal::dtype_specialized_elementwise_fn_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; CTYPE_OUT = bool; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30, auto:31, auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.3413497Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30, auto:31, auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.3423785Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30, auto:31, auto:32)>]’
2025-06-05T23:29:02.3428941Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.3429863Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.3430401Z      94 |     struct array
2025-06-05T23:29:02.3430730Z         |            ^~~~~
2025-06-05T23:29:02.3431554Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 3>::_M_elems [3]’
2025-06-05T23:29:02.3432303Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.3432768Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.3438547Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30, auto:31, auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:29:02.8457929Z   /pytorch/executorch/../executorch/runtime/core/function_ref.h:91:48:   required by substitution of ‘template<class Callable> executorch::runtime::FunctionRef<void(long int, long int)>::FunctionRef(Callable&&, std::enable_if_t<(! std::is_same<typename executorch::runtime::internal::remove_cvref<T>::type, executorch::runtime::FunctionRef<void(long int, long int)> >::value), void>*, std::enable_if_t<(std::is_void<void>::value || std::is_convertible<decltype (declval<Callable>()(declval<long int>(), declval<long int>())), void>::value), void>*) [with Callable = torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30, auto:31, auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]::<lambda(auto:7, auto:8)>]’
2025-06-05T23:29:02.8470160Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn_generic_impl(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30, auto:31, auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.8480745Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required from ‘void torch::executor::native::utils::internal::apply_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, Args ...) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; bool support_noncontiguous_tensors = false; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30, auto:31, auto:32)>; Args = {std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>, std::pair<const executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:29:02.8491026Z   /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:446:47:   required from ‘void torch::executor::native::utils::internal::apply_tritensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&, torch::executor::native::utils::SupportedTensorDtypes, const executorch::runtime::etensor::Tensor&) [with CTYPE_COMPUTE = bool; const char* op_name = (& op_name); torch::executor::native::utils::SupportedTensorDtypes out_dtypes = torch::executor::native::utils::SupportedTensorDtypes::SAME_AS_COMMON; Op = torch::executor::native::where_out(executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, const executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&)::<lambda()>::<lambda()>::<lambda(auto:30, auto:31, auto:32)>]’
2025-06-05T23:29:02.8495963Z   /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:29:02.8497529Z   /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 3>’ has no user-provided default constructor
2025-06-05T23:29:02.8498521Z      94 |     struct array
2025-06-05T23:29:02.8498913Z         |            ^~~~~
2025-06-05T23:29:02.8500380Z   /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 3>::_M_elems [3]’
2025-06-05T23:29:02.8501805Z     110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:29:02.8502524Z         |                                                        ^~~~~~~~
2025-06-05T23:29:02.8503918Z   [ 48%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/pattern/unary_ufunc_realhbbf16_to_floathbf16.cpp.o
2025-06-05T23:29:02.8506029Z   [ 48%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/pattern/unary_ufunc_realhbf16.cpp.o
2025-06-05T23:29:02.8508380Z   [ 48%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc8w-gemm/gen/f32-qc4w-gemm-7x32-minmax-avx512skx-broadcast.c.o
2025-06-05T23:29:02.8511026Z   [ 48%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x16-minmax-avx-broadcast.c.o
2025-06-05T23:29:02.8513568Z   [ 48%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x16-minmax-avx2-broadcast.c.o
2025-06-05T23:29:02.8515813Z   [ 48%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/activation_ops_util.cpp.o
2025-06-05T23:29:02.8517700Z   [ 48%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/advanced_index_util.cpp.o
2025-06-05T23:29:02.8519484Z   [ 48%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/broadcast_util.cpp.o
2025-06-05T23:29:02.8521692Z   [ 48%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x16-minmax-fma3-broadcast.c.o
2025-06-05T23:29:02.8524426Z   [ 49%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x32-minmax-avx512skx-broadcast.c.o
2025-06-05T23:29:02.8526686Z   [ 49%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/copy_ops_util.cpp.o
2025-06-05T23:29:02.8528966Z   [ 49%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x4-minmax-scalar.c.o
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2025-06-05T23:29:29.8572280Z   [100%] Built target XNNPACK
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2025-06-05T23:29:29.8578442Z   [100%] Building CXX object CMakeFiles/portable_lib.dir/extension/pybindings/pybindings.cpp.o
2025-06-05T23:29:29.8579087Z   [100%] Linking CXX shared library _portable_lib.cpython-310-x86_64-linux-gnu.so
2025-06-05T23:29:29.8579520Z   [100%] Built target portable_lib
2025-06-05T23:29:29.8580060Z   Building CXX object backends/apple/coreml/CMakeFiles/coreml_util.dir/runtime/util/json_util.cpp.o
2025-06-05T23:29:38.1927019Z   Building CXX object backends/apple/coreml/CMakeFiles/coreml_inmemoryfs.dir/runtime/inmemoryfs/memory_buffer.cpp.o
2025-06-05T23:29:38.1928062Z   Building CXX object backends/apple/coreml/CMakeFiles/coreml_inmemoryfs.dir/runtime/inmemoryfs/inmemory_filesystem.cpp.o
2025-06-05T23:29:38.1929274Z   Building CXX object backends/apple/coreml/CMakeFiles/coreml_inmemoryfs.dir/runtime/inmemoryfs/reversed_memory_stream.cpp.o
2025-06-05T23:29:38.1930283Z   Building CXX object backends/apple/coreml/CMakeFiles/coreml_inmemoryfs.dir/runtime/inmemoryfs/memory_stream.cpp.o
2025-06-05T23:29:38.1930924Z   Linking CXX static library libcoreml_util.a
2025-06-05T23:29:38.1932417Z   /pytorch/executorch/backends/apple/coreml/runtime/inmemoryfs/inmemory_filesystem.cpp: In member function ‘virtual std::string inmemoryfs::InMemoryFileSystem::ErrorCategory::message(int) const’:
2025-06-05T23:29:38.1934163Z   /pytorch/executorch/backends/apple/coreml/runtime/inmemoryfs/inmemory_filesystem.cpp:463:1: warning: control reaches end of non-void function [-Wreturn-type]
2025-06-05T23:29:38.1934999Z     463 | }
2025-06-05T23:29:38.1935197Z         | ^
2025-06-05T23:29:38.1936558Z   /pytorch/executorch/backends/apple/coreml/runtime/inmemoryfs/inmemory_filesystem.cpp: In function ‘bool {anonymous}::write_node(inmemoryfs::InMemoryFileSystem::InMemoryNode*, const std::filesystem::__cxx11::path&, bool, std::error_code&)’:
2025-06-05T23:29:38.1938390Z   /pytorch/executorch/backends/apple/coreml/runtime/inmemoryfs/inmemory_filesystem.cpp:279:1: warning: control reaches end of non-void function [-Wreturn-type]
2025-06-05T23:29:38.1939229Z     279 | }
2025-06-05T23:29:38.1939407Z         | ^
2025-06-05T23:29:38.1941082Z   /pytorch/executorch/backends/apple/coreml/runtime/inmemoryfs/inmemory_filesystem.cpp: In static member function ‘static std::unique_ptr<inmemoryfs::InMemoryFileSystem> inmemoryfs::InMemoryFileSystem::make_from_directory(const string&, inmemoryfs::InMemoryFileSystem::FileLoadOption, std::error_code&)’:
2025-06-05T23:29:38.1943100Z   /pytorch/executorch/backends/apple/coreml/runtime/inmemoryfs/inmemory_filesystem.cpp:727:1: warning: control reaches end of non-void function [-Wreturn-type]
2025-06-05T23:29:38.1943924Z     727 | }
2025-06-05T23:29:38.1944111Z         | ^
2025-06-05T23:29:38.1945564Z   /pytorch/executorch/backends/apple/coreml/runtime/inmemoryfs/inmemory_filesystem.cpp: In function ‘inmemoryfs::MemoryBuffer::ReadOption {anonymous}::to_memory_buffer_read_option(inmemoryfs::InMemoryFileSystem::FileLoadOption)’:
2025-06-05T23:29:38.1947259Z   /pytorch/executorch/backends/apple/coreml/runtime/inmemoryfs/inmemory_filesystem.cpp:152:1: warning: control reaches end of non-void function [-Wreturn-type]
2025-06-05T23:29:38.1948100Z     152 | }
2025-06-05T23:29:38.1948275Z         | ^
2025-06-05T23:29:38.1948488Z   Built target coreml_util
2025-06-05T23:29:38.1950052Z   /pytorch/executorch/backends/apple/coreml/runtime/inmemoryfs/memory_buffer.cpp: In function ‘std::unique_ptr<inmemoryfs::MemoryBuffer> {anonymous}::read_file_content(std::unique_ptr<_IO_FILE, int (*)(_IO_FILE*)>, inmemoryfs::Range, inmemoryfs::MemoryBuffer::ReadOption, std::error_code&)’:
2025-06-05T23:29:38.1951873Z   /pytorch/executorch/backends/apple/coreml/runtime/inmemoryfs/memory_buffer.cpp:243:1: warning: control reaches end of non-void function [-Wreturn-type]
2025-06-05T23:29:38.1952687Z     243 | }
2025-06-05T23:29:38.1952873Z         | ^
2025-06-05T23:29:38.1953129Z   Linking CXX static library libcoreml_inmemoryfs.a
2025-06-05T23:29:38.1953485Z   Built target coreml_inmemoryfs
2025-06-05T23:29:38.1954140Z   Building CXX object backends/apple/coreml/CMakeFiles/executorchcoreml.dir/runtime/inmemoryfs/inmemory_filesystem_py.cpp.o
2025-06-05T23:29:38.1955231Z   Building CXX object backends/apple/coreml/CMakeFiles/executorchcoreml.dir/runtime/inmemoryfs/inmemory_filesystem_utils.cpp.o
2025-06-05T23:29:38.1956073Z   Linking CXX shared library executorchcoreml.cpython-310-x86_64-linux-gnu.so
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2025-06-05T23:29:38.1973373Z   [100%] Building CXX object extension/llm/custom_ops/CMakeFiles/custom_ops_aot_lib.dir/spinquant/fast_hadamard_transform.cpp.o
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2025-06-05T23:29:38.1975199Z   [100%] Building CXX object extension/llm/custom_ops/CMakeFiles/custom_ops_aot_lib.dir/op_sdpa_aot.cpp.o
2025-06-05T23:29:38.1978041Z   cc1: warning: command line option ‘-frtti’ is valid for C++/D/ObjC++ but not for C
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2025-06-05T23:29:38.1981333Z   In file included from /pytorch/executorch/extension/llm/custom_ops/op_sdpa.cpp:10:
2025-06-05T23:29:38.1982178Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/op_sdpa_impl.h: In lambda function:
2025-06-05T23:29:38.1983478Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/op_sdpa_impl.h:942:17: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2025-06-05T23:29:38.1984416Z     942 |                 [scaling_factor](Vec x, Vec y) {
2025-06-05T23:29:38.1984771Z         |                 ^
2025-06-05T23:29:38.1985086Z   [100%] Linking CXX shared library libcustom_ops_aot_lib.so
2025-06-05T23:29:38.1985445Z   [100%] Built target custom_ops_aot_lib
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2025-06-05T23:29:48.9204686Z   quantized_decomposed::add.out quantized_decomposed::choose_qparams.Tensor_out quantized_decomposed::choose_qparams_per_token_asymmetric.out quantized_decomposed::dequantize_per_channel.out quantized_decomposed::dequantize_per_tensor.out quantized_decomposed::dequantize_per_tensor.Tensor_out quantized_decomposed::dequantize_per_token.out quantized_decomposed::mixed_linear.out quantized_decomposed::mixed_mm.out quantized_decomposed::quantize_per_channel.out quantized_decomposed::quantize_per_tensor.out quantized_decomposed::quantize_per_tensor.Tensor_out quantized_decomposed::quantize_per_token.out
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2025-06-05T23:29:48.9219256Z   [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/__/portable/cpu/util/reduce_util.cpp.o
2025-06-05T23:29:48.9220277Z   [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/__/__/runtime/core/exec_aten/util/tensor_util_aten.cpp.o
2025-06-05T23:29:48.9221034Z   [100%] Linking CXX shared library libquantized_ops_aot_lib.so
2025-06-05T23:29:48.9221475Z   [100%] Built target quantized_ops_aot_lib
2025-06-05T23:29:48.9221780Z   running build_py
2025-06-05T23:29:48.9222104Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen
2025-06-05T23:29:48.9222751Z   copying src/executorch/codegen/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen
2025-06-05T23:29:48.9223554Z   copying src/executorch/codegen/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen
2025-06-05T23:29:48.9224375Z   copying src/executorch/codegen/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen
2025-06-05T23:29:48.9225174Z   copying src/executorch/codegen/parse.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen
2025-06-05T23:29:48.9225817Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools
2025-06-05T23:29:48.9226538Z   copying src/executorch/devtools/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools
2025-06-05T23:29:48.9227167Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9227770Z   copying src/executorch/exir/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9228489Z   copying src/executorch/exir/_warnings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9229445Z   copying src/executorch/exir/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9230291Z   copying src/executorch/exir/control_flow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9231126Z   copying src/executorch/exir/delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9231912Z   copying src/executorch/exir/dim_order_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9232693Z   copying src/executorch/exir/dynamic_shape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9233449Z   copying src/executorch/exir/error.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9234246Z   copying src/executorch/exir/graph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9234986Z   copying src/executorch/exir/graph_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9235810Z   copying src/executorch/exir/lowered_backend_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9236618Z   copying src/executorch/exir/memory.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9237394Z   copying src/executorch/exir/memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9238220Z   copying src/executorch/exir/pass_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9239018Z   copying src/executorch/exir/pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9239805Z   copying src/executorch/exir/print_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9240571Z   copying src/executorch/exir/scalar_type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9241447Z   copying src/executorch/exir/schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9242185Z   copying src/executorch/exir/sym_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9242904Z   copying src/executorch/exir/tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9243630Z   copying src/executorch/exir/tracer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9244340Z   copying src/executorch/exir/types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9245120Z   copying src/executorch/exir/version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9245898Z   copying src/executorch/exir/wrap.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-06-05T23:29:48.9246545Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime
2025-06-05T23:29:48.9247185Z   copying src/executorch/runtime/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime
2025-06-05T23:29:48.9247809Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-06-05T23:29:48.9248515Z   copying src/executorch/util/activation_memory_profiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-06-05T23:29:48.9249469Z   copying src/executorch/util/collect_env.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-06-05T23:29:48.9250268Z   copying src/executorch/util/python_profiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-06-05T23:29:48.9250981Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-06-05T23:29:48.9251699Z   copying src/executorch/backends/arm/arm_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-06-05T23:29:48.9252647Z   copying src/executorch/backends/arm/arm_vela.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-06-05T23:29:48.9638759Z   copying src/executorch/backends/arm/ethosu_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-06-05T23:29:48.9639797Z   copying src/executorch/backends/arm/ethosu_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-06-05T23:29:48.9641055Z   copying src/executorch/backends/arm/process_node.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-06-05T23:29:48.9642682Z   copying src/executorch/backends/arm/tosa_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-06-05T23:29:48.9644432Z   copying src/executorch/backends/arm/tosa_mapping.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-06-05T23:29:48.9646108Z   copying src/executorch/backends/arm/tosa_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-06-05T23:29:48.9647792Z   copying src/executorch/backends/arm/tosa_quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-06-05T23:29:48.9649266Z   copying src/executorch/backends/arm/tosa_specification.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-06-05T23:29:48.9650299Z   copying src/executorch/backends/arm/tosa_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-06-05T23:29:48.9651317Z   copying src/executorch/backends/arm/vgf_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-06-05T23:29:48.9652254Z   copying src/executorch/backends/arm/vgf_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-06-05T23:29:48.9653095Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example
2025-06-05T23:29:48.9653902Z   copying src/executorch/backends/example/example_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example
2025-06-05T23:29:48.9655522Z   copying src/executorch/backends/example/example_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example
2025-06-05T23:29:48.9657540Z   copying src/executorch/backends/example/example_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example
2025-06-05T23:29:48.9658647Z   copying src/executorch/backends/example/test_example_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example
2025-06-05T23:29:48.9659564Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek
2025-06-05T23:29:48.9660410Z   copying src/executorch/backends/mediatek/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek
2025-06-05T23:29:48.9661437Z   copying src/executorch/backends/mediatek/partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek
2025-06-05T23:29:48.9662486Z   copying src/executorch/backends/mediatek/preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek
2025-06-05T23:29:48.9663729Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp
2025-06-05T23:29:48.9665145Z   copying src/executorch/backends/nxp/neutron_node_extraction.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp
2025-06-05T23:29:48.9667100Z   copying src/executorch/backends/nxp/neutron_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp
2025-06-05T23:29:48.9669023Z   copying src/executorch/backends/nxp/neutron_pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp
2025-06-05T23:29:48.9670919Z   copying src/executorch/backends/nxp/nxp_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp
2025-06-05T23:29:48.9672175Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino
2025-06-05T23:29:48.9673560Z   copying src/executorch/backends/openvino/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino
2025-06-05T23:29:48.9674944Z   copying src/executorch/backends/openvino/partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino
2025-06-05T23:29:48.9676005Z   copying src/executorch/backends/openvino/preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino
2025-06-05T23:29:48.9676815Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm
2025-06-05T23:29:48.9677708Z   copying src/executorch/backends/qualcomm/qnn_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm
2025-06-05T23:29:48.9678546Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9679353Z   copying src/executorch/backends/transforms/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9680989Z   copying src/executorch/backends/transforms/addmm_mm_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9683102Z   copying src/executorch/backends/transforms/convert_dtype_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9685327Z   copying src/executorch/backends/transforms/decompose_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9687491Z   copying src/executorch/backends/transforms/duplicate_dynamic_quant_chain.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9689605Z   copying src/executorch/backends/transforms/fuse_batch_norm_with_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9691051Z   copying src/executorch/backends/transforms/fuse_conv_with_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9692281Z   copying src/executorch/backends/transforms/fuse_view_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9693505Z   copying src/executorch/backends/transforms/mean_to_sum_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9694658Z   copying src/executorch/backends/transforms/rank_0_to_rank_1.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9695757Z   copying src/executorch/backends/transforms/remove_clone_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9697563Z   copying src/executorch/backends/transforms/remove_getitem_op.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9699353Z   copying src/executorch/backends/transforms/replace_scalar_with_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9700514Z   copying src/executorch/backends/transforms/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9701703Z   copying src/executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-06-05T23:29:48.9702683Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-06-05T23:29:48.9703441Z   copying src/executorch/backends/vulkan/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-06-05T23:29:48.9704644Z   copying src/executorch/backends/vulkan/custom_ops_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-06-05T23:29:48.9706474Z   copying src/executorch/backends/vulkan/op_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-06-05T23:29:48.9707690Z   copying src/executorch/backends/vulkan/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-06-05T23:29:48.9708767Z   copying src/executorch/backends/vulkan/vulkan_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-06-05T23:29:48.9709646Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack
2025-06-05T23:29:48.9710405Z   copying src/executorch/backends/xnnpack/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack
2025-06-05T23:29:48.9711436Z   copying src/executorch/backends/xnnpack/xnnpack_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack
2025-06-05T23:29:48.9712261Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps
2025-06-05T23:29:48.9713386Z   copying src/executorch/backends/apple/mps/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps
2025-06-05T23:29:48.9715241Z   copying src/executorch/backends/apple/mps/mps_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps
2025-06-05T23:29:48.9716324Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler
2025-06-05T23:29:48.9717355Z   copying src/executorch/backends/apple/coreml/compiler/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler
2025-06-05T23:29:48.9718708Z   copying src/executorch/backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler
2025-06-05T23:29:48.9719733Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition
2025-06-05T23:29:48.9720718Z   copying src/executorch/backends/apple/coreml/partition/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition
2025-06-05T23:29:48.9722952Z   copying src/executorch/backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition
2025-06-05T23:29:48.9724482Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-06-05T23:29:48.9725545Z   copying src/executorch/backends/apple/coreml/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-06-05T23:29:49.0098930Z   copying src/executorch/backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-06-05T23:29:49.0100173Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test
2025-06-05T23:29:49.0101157Z   copying src/executorch/backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test
2025-06-05T23:29:49.0102472Z   copying src/executorch/backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test
2025-06-05T23:29:49.0103509Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test
2025-06-05T23:29:49.0104615Z   copying src/executorch/backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test
2025-06-05T23:29:49.0105670Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0106675Z   copying src/executorch/backends/apple/mps/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0107961Z   copying src/executorch/backends/apple/mps/operators/activation_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0109237Z   copying src/executorch/backends/apple/mps/operators/binary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0110527Z   copying src/executorch/backends/apple/mps/operators/clamp_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0111807Z   copying src/executorch/backends/apple/mps/operators/constant_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0113099Z   copying src/executorch/backends/apple/mps/operators/convolution_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0114387Z   copying src/executorch/backends/apple/mps/operators/indexing_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0115668Z   copying src/executorch/backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0117035Z   copying src/executorch/backends/apple/mps/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0118317Z   copying src/executorch/backends/apple/mps/operators/normalization_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0119594Z   copying src/executorch/backends/apple/mps/operators/op_clone.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0120811Z   copying src/executorch/backends/apple/mps/operators/op_getitem.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0122053Z   copying src/executorch/backends/apple/mps/operators/op_quant_dequant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0123309Z   copying src/executorch/backends/apple/mps/operators/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0124520Z   copying src/executorch/backends/apple/mps/operators/pad_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0125739Z   copying src/executorch/backends/apple/mps/operators/pooling_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0126986Z   copying src/executorch/backends/apple/mps/operators/range_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0128251Z   copying src/executorch/backends/apple/mps/operators/reduce_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0129720Z   copying src/executorch/backends/apple/mps/operators/shape_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0131043Z   copying src/executorch/backends/apple/mps/operators/unary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-06-05T23:29:49.0131980Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition
2025-06-05T23:29:49.0133041Z   copying src/executorch/backends/apple/mps/partition/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition
2025-06-05T23:29:49.0134286Z   copying src/executorch/backends/apple/mps/partition/mps_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition
2025-06-05T23:29:49.0135347Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-06-05T23:29:49.0136396Z   copying src/executorch/backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-06-05T23:29:49.0137778Z   copying src/executorch/backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-06-05T23:29:49.0138842Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-06-05T23:29:49.0139716Z   copying src/executorch/backends/apple/mps/test/test_mps.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-06-05T23:29:49.0140852Z   copying src/executorch/backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-06-05T23:29:49.0142050Z   copying src/executorch/backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-06-05T23:29:49.0143242Z   copying src/executorch/backends/apple/mps/test/test_mps_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-06-05T23:29:49.0144393Z   copying src/executorch/backends/apple/mps/test/test_mps_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-06-05T23:29:49.0145617Z   copying src/executorch/backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-06-05T23:29:49.0146767Z   copying src/executorch/backends/apple/mps/test/test_mps_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-06-05T23:29:49.0147665Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils
2025-06-05T23:29:49.0148555Z   copying src/executorch/backends/apple/mps/utils/mps_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils
2025-06-05T23:29:49.0149699Z   copying src/executorch/backends/apple/mps/utils/quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils
2025-06-05T23:29:49.0150576Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0151367Z   copying src/executorch/backends/arm/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0152387Z   copying src/executorch/backends/arm/_passes/_debug_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0153528Z   copying src/executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0154726Z   copying src/executorch/backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0155818Z   copying src/executorch/backends/arm/_passes/arm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0156897Z   copying src/executorch/backends/arm/_passes/arm_pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0157950Z   copying src/executorch/backends/arm/_passes/arm_pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0159032Z   copying src/executorch/backends/arm/_passes/broadcast_args_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0160247Z   copying src/executorch/backends/arm/_passes/cast_int64_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0161321Z   copying src/executorch/backends/arm/_passes/cast_to_int32_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0162461Z   copying src/executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0163612Z   copying src/executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0164804Z   copying src/executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0555542Z   copying src/executorch/backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0556724Z   copying src/executorch/backends/arm/_passes/convert_int_pow_to_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0557839Z   copying src/executorch/backends/arm/_passes/convert_minmax_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0558976Z   copying src/executorch/backends/arm/_passes/convert_split_to_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0560760Z   copying src/executorch/backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0562509Z   copying src/executorch/backends/arm/_passes/convert_to_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0563670Z   copying src/executorch/backends/arm/_passes/decompose_cosine_similarity_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0564854Z   copying src/executorch/backends/arm/_passes/decompose_div_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0565972Z   copying src/executorch/backends/arm/_passes/decompose_gelu_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0567749Z   copying src/executorch/backends/arm/_passes/decompose_groupnorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0569345Z   copying src/executorch/backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0570548Z   copying src/executorch/backends/arm/_passes/decompose_leaky_relu_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0571730Z   copying src/executorch/backends/arm/_passes/decompose_linalg_vector_norm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0573017Z   copying src/executorch/backends/arm/_passes/decompose_linear_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0574155Z   copying src/executorch/backends/arm/_passes/decompose_meandim_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0575370Z   copying src/executorch/backends/arm/_passes/decompose_ne_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0576896Z   copying src/executorch/backends/arm/_passes/decompose_select.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0578650Z   copying src/executorch/backends/arm/_passes/decompose_silu_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0579782Z   copying src/executorch/backends/arm/_passes/decompose_softmax_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0580958Z   copying src/executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0582107Z   copying src/executorch/backends/arm/_passes/decompose_sqrt_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0583333Z   copying src/executorch/backends/arm/_passes/decompose_sum_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0584436Z   copying src/executorch/backends/arm/_passes/decompose_var_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0586020Z   copying src/executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0587914Z   copying src/executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0589042Z   copying src/executorch/backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0590186Z   copying src/executorch/backends/arm/_passes/fuse_equal_placeholders_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0591356Z   copying src/executorch/backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0592508Z   copying src/executorch/backends/arm/_passes/insert_rescales_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0593649Z   copying src/executorch/backends/arm/_passes/insert_table_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0594725Z   copying src/executorch/backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0595867Z   copying src/executorch/backends/arm/_passes/match_where_self_arg_dtype_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0596961Z   copying src/executorch/backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0598030Z   copying src/executorch/backends/arm/_passes/remove_clone_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0599860Z   copying src/executorch/backends/arm/_passes/replace_inf_values_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0601365Z   copying src/executorch/backends/arm/_passes/replace_scalar_with_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0602545Z   copying src/executorch/backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0603689Z   copying src/executorch/backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0604833Z   copying src/executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0606126Z   copying src/executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-06-05T23:29:49.0607075Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-06-05T23:29:49.0608012Z   copying src/executorch/backends/arm/operator_support/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-06-05T23:29:49.0609576Z   copying src/executorch/backends/arm/operator_support/convolution_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-06-05T23:29:49.0611607Z   copying src/executorch/backends/arm/operator_support/ethos_u55_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-06-05T23:29:49.0613046Z   copying src/executorch/backends/arm/operator_support/minmax_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-06-05T23:29:49.0614310Z   copying src/executorch/backends/arm/operator_support/pool_2d_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-06-05T23:29:49.0615572Z   copying src/executorch/backends/arm/operator_support/reduce_sum_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-06-05T23:29:49.0617727Z   copying src/executorch/backends/arm/operator_support/right_shift_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-06-05T23:29:49.0619275Z   copying src/executorch/backends/arm/operator_support/sin_cos_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-06-05T23:29:49.0620536Z   copying src/executorch/backends/arm/operator_support/slice_copy_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-06-05T23:29:49.0621808Z   copying src/executorch/backends/arm/operator_support/to_copy_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-06-05T23:29:49.0623087Z   copying src/executorch/backends/arm/operator_support/tosa_supported_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-06-05T23:29:49.0624389Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.0625964Z   copying src/executorch/backends/arm/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.0627083Z   copying src/executorch/backends/arm/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.0628194Z   copying src/executorch/backends/arm/operators/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1019194Z   copying src/executorch/backends/arm/operators/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1020321Z   copying src/executorch/backends/arm/operators/op_amax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1021426Z   copying src/executorch/backends/arm/operators/op_amin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1022509Z   copying src/executorch/backends/arm/operators/op_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1023593Z   copying src/executorch/backends/arm/operators/op_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1024696Z   copying src/executorch/backends/arm/operators/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1026278Z   copying src/executorch/backends/arm/operators/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1028504Z   copying src/executorch/backends/arm/operators/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1030372Z   copying src/executorch/backends/arm/operators/op_constant_pad_nd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1031512Z   copying src/executorch/backends/arm/operators/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1032597Z   copying src/executorch/backends/arm/operators/op_cos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1033658Z   copying src/executorch/backends/arm/operators/op_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1034703Z   copying src/executorch/backends/arm/operators/op_erf.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1036398Z   copying src/executorch/backends/arm/operators/op_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1038362Z   copying src/executorch/backends/arm/operators/op_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1040082Z   copying src/executorch/backends/arm/operators/op_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1041313Z   copying src/executorch/backends/arm/operators/op_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1042358Z   copying src/executorch/backends/arm/operators/op_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1043415Z   copying src/executorch/backends/arm/operators/op_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1044538Z   copying src/executorch/backends/arm/operators/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1046125Z   copying src/executorch/backends/arm/operators/op_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1047965Z   copying src/executorch/backends/arm/operators/op_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1049076Z   copying src/executorch/backends/arm/operators/op_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1050136Z   copying src/executorch/backends/arm/operators/op_neg.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1051460Z   copying src/executorch/backends/arm/operators/op_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1052641Z   copying src/executorch/backends/arm/operators/op_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1054712Z   copying src/executorch/backends/arm/operators/op_reciprocal.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1056080Z   copying src/executorch/backends/arm/operators/op_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1057183Z   copying src/executorch/backends/arm/operators/op_rescale.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1058312Z   copying src/executorch/backends/arm/operators/op_rshift_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1059533Z   copying src/executorch/backends/arm/operators/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1060611Z   copying src/executorch/backends/arm/operators/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1062654Z   copying src/executorch/backends/arm/operators/op_sin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1063952Z   copying src/executorch/backends/arm/operators/op_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1065040Z   copying src/executorch/backends/arm/operators/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1066105Z   copying src/executorch/backends/arm/operators/op_sum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1067157Z   copying src/executorch/backends/arm/operators/op_table.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1068233Z   copying src/executorch/backends/arm/operators/op_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1069512Z   copying src/executorch/backends/arm/operators/op_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1071546Z   copying src/executorch/backends/arm/operators/op_to_dim_order_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1072714Z   copying src/executorch/backends/arm/operators/op_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1073940Z   copying src/executorch/backends/arm/operators/op_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1075143Z   copying src/executorch/backends/arm/operators/op_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1076277Z   copying src/executorch/backends/arm/operators/op_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1077782Z   copying src/executorch/backends/arm/operators/op_where.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1079578Z   copying src/executorch/backends/arm/operators/operator_validation_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1080836Z   copying src/executorch/backends/arm/operators/ops_binary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1081965Z   copying src/executorch/backends/arm/operators/ops_identity.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1083082Z   copying src/executorch/backends/arm/operators/ops_unary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-06-05T23:29:49.1083930Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-06-05T23:29:49.1085193Z   copying src/executorch/backends/arm/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-06-05T23:29:49.1086936Z   copying src/executorch/backends/arm/quantizer/arm_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-06-05T23:29:49.1088099Z   copying src/executorch/backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-06-05T23:29:49.1089323Z   copying src/executorch/backends/arm/quantizer/quantization_annotator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-06-05T23:29:49.1090545Z   copying src/executorch/backends/arm/quantizer/quantization_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-06-05T23:29:49.1091451Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/scripts
2025-06-05T23:29:49.1092520Z   copying src/executorch/backends/arm/scripts/parse_test_names.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/scripts
2025-06-05T23:29:49.1094259Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-06-05T23:29:49.1095113Z   copying src/executorch/backends/arm/test/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-06-05T23:29:49.1096100Z   copying src/executorch/backends/arm/test/conftest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-06-05T23:29:49.1097123Z   copying src/executorch/backends/arm/test/runner_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-06-05T23:29:49.1486398Z   copying src/executorch/backends/arm/test/test_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-06-05T23:29:49.1487222Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/util
2025-06-05T23:29:49.1488062Z   copying src/executorch/backends/arm/util/arm_model_evaluator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/util
2025-06-05T23:29:49.1489116Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-06-05T23:29:49.1490134Z   copying src/executorch/backends/arm/test/misc/test_bn_relu_folding_qat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-06-05T23:29:49.1492308Z   copying src/executorch/backends/arm/test/misc/test_custom_partition.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-06-05T23:29:49.1493750Z   copying src/executorch/backends/arm/test/misc/test_debug_feats.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-06-05T23:29:49.1494913Z   copying src/executorch/backends/arm/test/misc/test_dim_order_guards.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-06-05T23:29:49.1496091Z   copying src/executorch/backends/arm/test/misc/test_lifted_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-06-05T23:29:49.1497268Z   copying src/executorch/backends/arm/test/misc/test_model_evaluator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-06-05T23:29:49.1498726Z   copying src/executorch/backends/arm/test/misc/test_multiple_delegates.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-06-05T23:29:49.1500862Z   copying src/executorch/backends/arm/test/misc/test_multiple_outputs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-06-05T23:29:49.1502099Z   copying src/executorch/backends/arm/test/misc/test_non_persistent_buffers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-06-05T23:29:49.1503397Z   copying src/executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-06-05T23:29:49.1504634Z   copying src/executorch/backends/arm/test/misc/test_tosa_spec.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-06-05T23:29:49.1505507Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-06-05T23:29:49.1506704Z   copying src/executorch/backends/arm/test/models/test_conformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-06-05T23:29:49.1508772Z   copying src/executorch/backends/arm/test/models/test_deit_tiny_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-06-05T23:29:49.1509966Z   copying src/executorch/backends/arm/test/models/test_dl3_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-06-05T23:29:49.1511178Z   copying src/executorch/backends/arm/test/models/test_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-06-05T23:29:49.1512322Z   copying src/executorch/backends/arm/test/models/test_lstm_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-06-05T23:29:49.1513637Z   copying src/executorch/backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-06-05T23:29:49.1515882Z   copying src/executorch/backends/arm/test/models/test_mobilenet_v3_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-06-05T23:29:49.1517153Z   copying src/executorch/backends/arm/test/models/test_nn_functional.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-06-05T23:29:49.1518359Z   copying src/executorch/backends/arm/test/models/test_nn_modules.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-06-05T23:29:49.1519566Z   copying src/executorch/backends/arm/test/models/test_torch_functions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-06-05T23:29:49.1520745Z   copying src/executorch/backends/arm/test/models/test_w2l_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-06-05T23:29:49.1521732Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1522558Z   copying src/executorch/backends/arm/test/ops/test_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1523618Z   copying src/executorch/backends/arm/test/ops/test_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1525085Z   copying src/executorch/backends/arm/test/ops/test_alias_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1526894Z   copying src/executorch/backends/arm/test/ops/test_amax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1527974Z   copying src/executorch/backends/arm/test/ops/test_amin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1529244Z   copying src/executorch/backends/arm/test/ops/test_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1530340Z   copying src/executorch/backends/arm/test/ops/test_arange.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1531412Z   copying src/executorch/backends/arm/test/ops/test_at.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1532587Z   copying src/executorch/backends/arm/test/ops/test_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1533791Z   copying src/executorch/backends/arm/test/ops/test_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1535138Z   copying src/executorch/backends/arm/test/ops/test_bitwise.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1537071Z   copying src/executorch/backends/arm/test/ops/test_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1538159Z   copying src/executorch/backends/arm/test/ops/test_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1539220Z   copying src/executorch/backends/arm/test/ops/test_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1540308Z   copying src/executorch/backends/arm/test/ops/test_clone.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1541426Z   copying src/executorch/backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1543239Z   copying src/executorch/backends/arm/test/ops/test_conv1d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1544709Z   copying src/executorch/backends/arm/test/ops/test_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1545915Z   copying src/executorch/backends/arm/test/ops/test_conv3d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1547017Z   copying src/executorch/backends/arm/test/ops/test_conv_combos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1548193Z   copying src/executorch/backends/arm/test/ops/test_conv_constant_pad_nd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1549402Z   copying src/executorch/backends/arm/test/ops/test_cos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1551448Z   copying src/executorch/backends/arm/test/ops/test_depthwise_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1552583Z   copying src/executorch/backends/arm/test/ops/test_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1553720Z   copying src/executorch/backends/arm/test/ops/test_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1554770Z   copying src/executorch/backends/arm/test/ops/test_erf.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1555826Z   copying src/executorch/backends/arm/test/ops/test_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1556940Z   copying src/executorch/backends/arm/test/ops/test_expand.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1558306Z   copying src/executorch/backends/arm/test/ops/test_eye.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1560112Z   copying src/executorch/backends/arm/test/ops/test_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1561317Z   copying src/executorch/backends/arm/test/ops/test_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1562381Z   copying src/executorch/backends/arm/test/ops/test_gelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1956837Z   copying src/executorch/backends/arm/test/ops/test_group_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1958156Z   copying src/executorch/backends/arm/test/ops/test_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1959258Z   copying src/executorch/backends/arm/test/ops/test_hardsigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1960377Z   copying src/executorch/backends/arm/test/ops/test_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1962118Z   copying src/executorch/backends/arm/test/ops/test_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1963750Z   copying src/executorch/backends/arm/test/ops/test_layer_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1964838Z   copying src/executorch/backends/arm/test/ops/test_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1965924Z   copying src/executorch/backends/arm/test/ops/test_leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1967064Z   copying src/executorch/backends/arm/test/ops/test_linalg_vector_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1968225Z   copying src/executorch/backends/arm/test/ops/test_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1969920Z   copying src/executorch/backends/arm/test/ops/test_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1971567Z   copying src/executorch/backends/arm/test/ops/test_logical.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1972756Z   copying src/executorch/backends/arm/test/ops/test_logsoftmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1973988Z   copying src/executorch/backends/arm/test/ops/test_lshift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1975056Z   copying src/executorch/backends/arm/test/ops/test_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1976132Z   copying src/executorch/backends/arm/test/ops/test_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1978093Z   copying src/executorch/backends/arm/test/ops/test_max_pool.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1979567Z   copying src/executorch/backends/arm/test/ops/test_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1980732Z   copying src/executorch/backends/arm/test/ops/test_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1981825Z   copying src/executorch/backends/arm/test/ops/test_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1982983Z   copying src/executorch/backends/arm/test/ops/test_mm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1984039Z   copying src/executorch/backends/arm/test/ops/test_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1985882Z   copying src/executorch/backends/arm/test/ops/test_ne.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1987310Z   copying src/executorch/backends/arm/test/ops/test_neg.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1988435Z   copying src/executorch/backends/arm/test/ops/test_ones.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1989523Z   copying src/executorch/backends/arm/test/ops/test_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1990681Z   copying src/executorch/backends/arm/test/ops/test_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1991929Z   copying src/executorch/backends/arm/test/ops/test_reciprocal.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1993949Z   copying src/executorch/backends/arm/test/ops/test_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1995099Z   copying src/executorch/backends/arm/test/ops/test_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1996271Z   copying src/executorch/backends/arm/test/ops/test_rshift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1997358Z   copying src/executorch/backends/arm/test/ops/test_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1998465Z   copying src/executorch/backends/arm/test/ops/test_scalar_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.1999624Z   copying src/executorch/backends/arm/test/ops/test_scalars.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2001622Z   copying src/executorch/backends/arm/test/ops/test_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2002872Z   copying src/executorch/backends/arm/test/ops/test_select.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2004121Z   copying src/executorch/backends/arm/test/ops/test_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2005232Z   copying src/executorch/backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2006377Z   copying src/executorch/backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2007969Z   copying src/executorch/backends/arm/test/ops/test_silu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2009614Z   copying src/executorch/backends/arm/test/ops/test_sin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2010800Z   copying src/executorch/backends/arm/test/ops/test_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2012063Z   copying src/executorch/backends/arm/test/ops/test_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2013209Z   copying src/executorch/backends/arm/test/ops/test_split.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2014290Z   copying src/executorch/backends/arm/test/ops/test_sqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2015411Z   copying src/executorch/backends/arm/test/ops/test_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2016488Z   copying src/executorch/backends/arm/test/ops/test_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2017545Z   copying src/executorch/backends/arm/test/ops/test_sum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2018843Z   copying src/executorch/backends/arm/test/ops/test_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2020807Z   copying src/executorch/backends/arm/test/ops/test_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2022059Z   copying src/executorch/backends/arm/test/ops/test_unary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2023184Z   copying src/executorch/backends/arm/test/ops/test_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2024346Z   copying src/executorch/backends/arm/test/ops/test_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2025529Z   copying src/executorch/backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2026663Z   copying src/executorch/backends/arm/test/ops/test_var.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2027725Z   copying src/executorch/backends/arm/test/ops/test_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2029028Z   copying src/executorch/backends/arm/test/ops/test_where.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2031001Z   copying src/executorch/backends/arm/test/ops/test_zeros.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-06-05T23:29:49.2032127Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2033149Z   copying src/executorch/backends/arm/test/passes/test_broadcast_args_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2358077Z   copying src/executorch/backends/arm/test/passes/test_cast_int64_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2359608Z   copying src/executorch/backends/arm/test/passes/test_convert_expand_copy_to_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2361077Z   copying src/executorch/backends/arm/test/passes/test_convert_int_pow_to_muls.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2363355Z   copying src/executorch/backends/arm/test/passes/test_convert_split_to_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2364626Z   copying src/executorch/backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2365935Z   copying src/executorch/backends/arm/test/passes/test_decompose_cosine_similarity_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2367380Z   copying src/executorch/backends/arm/test/passes/test_decompose_div_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2369237Z   copying src/executorch/backends/arm/test/passes/test_decompose_layernorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2371095Z   copying src/executorch/backends/arm/test/passes/test_decompose_linalg_vector_norm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2372541Z   copying src/executorch/backends/arm/test/passes/test_decompose_meandim_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2373955Z   copying src/executorch/backends/arm/test/passes/test_decompose_softmax_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2376003Z   copying src/executorch/backends/arm/test/passes/test_decompose_var_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2377583Z   copying src/executorch/backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2378814Z   copying src/executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2380205Z   copying src/executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2381539Z   copying src/executorch/backends/arm/test/passes/test_fuse_equal_placeholders_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2383920Z   copying src/executorch/backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2385228Z   copying src/executorch/backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2386493Z   copying src/executorch/backends/arm/test/passes/test_remove_clone_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2387708Z   copying src/executorch/backends/arm/test/passes/test_rescale_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2388981Z   copying src/executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-06-05T23:29:49.2389957Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer
2025-06-05T23:29:49.2390939Z   copying src/executorch/backends/arm/test/quantizer/test_generic_annotater.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer
2025-06-05T23:29:49.2391907Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-06-05T23:29:49.2392841Z   copying src/executorch/backends/arm/test/tester/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-06-05T23:29:49.2394549Z   copying src/executorch/backends/arm/test/tester/analyze_output_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-06-05T23:29:49.2396321Z   copying src/executorch/backends/arm/test/tester/arm_tester.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-06-05T23:29:49.2397483Z   copying src/executorch/backends/arm/test/tester/test_pipeline.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-06-05T23:29:49.2398398Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil
2025-06-05T23:29:49.2399291Z   copying src/executorch/backends/arm/test/tosautil/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil
2025-06-05T23:29:49.2400341Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib
2025-06-05T23:29:49.2401472Z   copying src/executorch/backends/arm/third-party/serialization_lib/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib
2025-06-05T23:29:49.2403627Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-06-05T23:29:49.2405174Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-06-05T23:29:49.2407000Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-06-05T23:29:49.2408665Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2410896Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2412823Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2415083Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2417511Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2419304Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2421061Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2423882Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2425613Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2427379Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2430494Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2432356Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2434401Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2437093Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2620429Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2622176Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2625019Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2627059Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2629080Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2631006Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2632810Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2634546Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2637733Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2640212Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2641970Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2643740Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2645483Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2647315Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2649065Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2650792Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2652566Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2654495Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2656364Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2658129Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2659922Z   copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:49.2661516Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts
2025-06-05T23:29:49.2663693Z   copying src/executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts
2025-06-05T23:29:49.2665077Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2025-06-05T23:29:49.2666596Z   copying src/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2025-06-05T23:29:49.2668006Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers
2025-06-05T23:29:49.2669483Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conanfile.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers
2025-06-05T23:29:49.2670986Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan
2025-06-05T23:29:49.2672506Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/build.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan
2025-06-05T23:29:49.2674074Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens
2025-06-05T23:29:49.2675693Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/generate_goldens.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens
2025-06-05T23:29:49.2677795Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/golden_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens
2025-06-05T23:29:49.2679486Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python
2025-06-05T23:29:49.2682217Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python
2025-06-05T23:29:49.2684479Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python
2025-06-05T23:29:49.2686029Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples
2025-06-05T23:29:49.2687639Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/sample_binary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples
2025-06-05T23:29:49.2689299Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts
2025-06-05T23:29:49.2690967Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check-grpc-generated-code.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts
2025-06-05T23:29:49.2693271Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check_generate_code.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts
2025-06-05T23:29:49.2695398Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_code.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts
2025-06-05T23:29:49.2892621Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_grpc_examples.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts
2025-06-05T23:29:49.2895053Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts
2025-06-05T23:29:49.2896612Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:49.2898212Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test_generated.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:49.2900342Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_flexbuffers_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:49.2903586Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:49.2906255Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package
2025-06-05T23:29:49.2907996Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package/conanfile.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package
2025-06-05T23:29:49.2909845Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp
2025-06-05T23:29:49.2912239Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp
2025-06-05T23:29:49.2914278Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp
2025-06-05T23:29:49.2915987Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp
2025-06-05T23:29:49.2917783Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart
2025-06-05T23:29:49.2919445Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart
2025-06-05T23:29:49.2922186Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go
2025-06-05T23:29:49.2924928Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go
2025-06-05T23:29:49.2926583Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java
2025-06-05T23:29:49.2928261Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java
2025-06-05T23:29:49.2930786Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin
2025-06-05T23:29:49.2933172Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin
2025-06-05T23:29:49.2934891Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster
2025-06-05T23:29:49.2936609Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster
2025-06-05T23:29:49.2938998Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua
2025-06-05T23:29:49.2942073Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua
2025-06-05T23:29:49.2943760Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim
2025-06-05T23:29:49.2945406Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim
2025-06-05T23:29:49.2947158Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php
2025-06-05T23:29:49.2948802Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php
2025-06-05T23:29:49.2950458Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py
2025-06-05T23:29:49.2952091Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Galaxy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py
2025-06-05T23:29:49.2954208Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Universe.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py
2025-06-05T23:29:49.2956365Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py
2025-06-05T23:29:49.2958483Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py
2025-06-05T23:29:49.2960171Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust
2025-06-05T23:29:49.2961825Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust
2025-06-05T23:29:49.2963500Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift
2025-06-05T23:29:49.2965353Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift
2025-06-05T23:29:49.2967935Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts
2025-06-05T23:29:49.2970815Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts
2025-06-05T23:29:49.2972482Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests
2025-06-05T23:29:49.3095702Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests/grpctest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests
2025-06-05T23:29:49.3098686Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter
2025-06-05T23:29:49.3100943Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/client.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter
2025-06-05T23:29:49.3103575Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/server.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter
2025-06-05T23:29:49.3106561Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models
2025-06-05T23:29:49.3109025Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloReply.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models
2025-06-05T23:29:49.3111732Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloRequest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models
2025-06-05T23:29:49.3115982Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models
2025-06-05T23:29:49.3118668Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/greeter_grpc_fb.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models
2025-06-05T23:29:49.3120733Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame
2025-06-05T23:29:49.3122929Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/InParentNamespace.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame
2025-06-05T23:29:49.3125463Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/MonsterExtra.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame
2025-06-05T23:29:49.3127978Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame
2025-06-05T23:29:49.3130733Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA
2025-06-05T23:29:49.3133923Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/SecondTableInA.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA
2025-06-05T23:29:49.3136552Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInC.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA
2025-06-05T23:29:49.3139746Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInFirstNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA
2025-06-05T23:29:49.3143212Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA
2025-06-05T23:29:49.3145217Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC
2025-06-05T23:29:49.3147144Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/TableInC.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC
2025-06-05T23:29:49.3151114Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC
2025-06-05T23:29:49.3153062Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars
2025-06-05T23:29:49.3155178Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/OptionalByte.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars
2025-06-05T23:29:49.3159356Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/ScalarStuff.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars
2025-06-05T23:29:49.3161982Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars
2025-06-05T23:29:49.3163939Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3167227Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Ability.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3170042Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3172711Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyAmbiguousAliases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3177094Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyUniqueAliases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3179817Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayStruct.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3317926Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayTable.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3321272Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Color.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3324986Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/LongEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3327614Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Monster.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3332032Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedStruct.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3334819Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Race.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3337966Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Referrable.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3341673Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Stat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3344403Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3348776Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructsOfStructs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3353920Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3359001Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3364296Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestSimpleTableWithEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3369796Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TypeAliases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3375009Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Vec3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3380003Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3385123Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/monster_test_grpc_fb.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example
2025-06-05T23:29:49.3389234Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2
2025-06-05T23:29:49.3393145Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/Monster.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2
2025-06-05T23:29:49.3398354Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2
2025-06-05T23:29:49.3402297Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3406544Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3411817Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Color.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3416093Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/NestedUnionTest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3419098Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3423553Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3426673Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Vec3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3431182Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3611438Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB
2025-06-05T23:29:49.3613719Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/EnumInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB
2025-06-05T23:29:49.3616808Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/StructInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB
2025-06-05T23:29:49.3619701Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/TableInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB
2025-06-05T23:29:49.3622618Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/UnionInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB
2025-06-05T23:29:49.3625606Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB
2025-06-05T23:29:49.3627725Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:49.3629850Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:49.3632279Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/_version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:49.3634777Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:49.3637116Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/compat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:49.3639393Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/encode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:49.3641755Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/flexbuffers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:49.3644088Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/number_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:49.3646622Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/packer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:49.3648947Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/table.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:49.3651254Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:49.3653104Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:49.3655280Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/AdvancedFeatures.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:49.3657853Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/BaseType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:49.3660374Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Enum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:49.3663102Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/EnumVal.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:49.3665614Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Field.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:49.3668126Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/KeyValue.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:49.3670813Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Object.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:49.3673318Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/RPCCall.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:49.3675863Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:49.3678509Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/SchemaFile.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:49.3681110Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Service.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:49.3683594Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:49.3771257Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:49.3775074Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame
2025-06-05T23:29:49.3778438Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/InParentNamespace.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame
2025-06-05T23:29:49.3782810Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/MonsterExtra.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame
2025-06-05T23:29:49.3787175Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame
2025-06-05T23:29:49.3789850Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary
2025-06-05T23:29:49.3793330Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/generate_annotations.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary
2025-06-05T23:29:49.3796504Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc
2025-06-05T23:29:49.3798840Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_cpp_tests.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc
2025-06-05T23:29:49.3803015Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_kotlin_tests.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc
2025-06-05T23:29:49.3807286Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_schema_tests.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc
2025-06-05T23:29:49.3811644Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc
2025-06-05T23:29:49.3815245Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_ts_tests.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc
2025-06-05T23:29:49.3817430Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/main.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc
2025-06-05T23:29:49.3819057Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim
2025-06-05T23:29:49.3820655Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim/testnim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim
2025-06-05T23:29:49.3822430Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars
2025-06-05T23:29:49.3824264Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/OptionalByte.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars
2025-06-05T23:29:49.3826674Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/ScalarStuff.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars
2025-06-05T23:29:49.3829728Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars
2025-06-05T23:29:49.3832984Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts
2025-06-05T23:29:49.3836121Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/TypeScriptTest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts
2025-06-05T23:29:49.3839389Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3842267Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Ability.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3846699Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3849843Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyAmbiguousAliases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3854658Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyUniqueAliases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3859434Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayStruct.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3862601Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayTable.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3864946Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Color.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3867256Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/LongEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3869675Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Monster.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3872022Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedStruct.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3874414Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Race.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3876782Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Referrable.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3879146Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Stat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3881489Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3883980Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructsOfStructs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3886402Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3889478Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3893313Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestSimpleTableWithEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3895889Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TypeAliases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3899097Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Vec3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3901748Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3904112Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/monster_test_grpc_fb.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:49.3906025Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2
2025-06-05T23:29:49.3908945Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/Monster.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2
2025-06-05T23:29:49.3911549Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2
2025-06-05T23:29:49.3913369Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3915407Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3919173Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Color.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3921826Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/NestedUnionTest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3925240Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3928367Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3931757Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Vec3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3935269Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion
2025-06-05T23:29:49.3937219Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA
2025-06-05T23:29:49.3939187Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/SecondTableInA.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA
2025-06-05T23:29:49.3941740Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInC.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA
2025-06-05T23:29:49.3944354Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInFirstNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA
2025-06-05T23:29:49.3948026Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA
2025-06-05T23:29:49.3950198Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC
2025-06-05T23:29:49.3952136Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/TableInC.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC
2025-06-05T23:29:49.3955942Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC
2025-06-05T23:29:49.3957924Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB
2025-06-05T23:29:49.4310395Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/EnumInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB
2025-06-05T23:29:49.4314474Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/StructInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB
2025-06-05T23:29:49.4317429Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/TableInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB
2025-06-05T23:29:49.4321448Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/UnionInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB
2025-06-05T23:29:49.4324451Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB
2025-06-05T23:29:49.4326337Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4327816Z   copying src/executorch/backends/cadence/aot/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4329962Z   copying src/executorch/backends/cadence/aot/compiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4332013Z   copying src/executorch/backends/cadence/aot/compiler_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4334229Z   copying src/executorch/backends/cadence/aot/decompose_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4336516Z   copying src/executorch/backends/cadence/aot/export_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4338563Z   copying src/executorch/backends/cadence/aot/fuse_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4339958Z   copying src/executorch/backends/cadence/aot/graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4341223Z   copying src/executorch/backends/cadence/aot/memory_constraints.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4342346Z   copying src/executorch/backends/cadence/aot/memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4343472Z   copying src/executorch/backends/cadence/aot/ops_registrations.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4344582Z   copying src/executorch/backends/cadence/aot/pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4345621Z   copying src/executorch/backends/cadence/aot/passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4346776Z   copying src/executorch/backends/cadence/aot/ref_implementations.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4347880Z   copying src/executorch/backends/cadence/aot/remove_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4348957Z   copying src/executorch/backends/cadence/aot/reorder_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4350036Z   copying src/executorch/backends/cadence/aot/replace_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4351117Z   copying src/executorch/backends/cadence/aot/simplify_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4352180Z   copying src/executorch/backends/cadence/aot/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:49.4353008Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-06-05T23:29:49.4353875Z   copying src/executorch/backends/cadence/runtime/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-06-05T23:29:49.4355001Z   copying src/executorch/backends/cadence/runtime/executor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-06-05T23:29:49.4356768Z   copying src/executorch/backends/cadence/runtime/runtime.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-06-05T23:29:49.4358461Z   copying src/executorch/backends/cadence/runtime/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-06-05T23:29:49.4359597Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-06-05T23:29:49.4360459Z   copying src/executorch/backends/cadence/utils/facto_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-06-05T23:29:49.4361580Z   copying src/executorch/backends/cadence/utils/gen_header.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-06-05T23:29:49.4362716Z   copying src/executorch/backends/cadence/utils/post_compilation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-06-05T23:29:49.4363641Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-06-05T23:29:49.4364709Z   copying src/executorch/backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-06-05T23:29:49.4367067Z   copying src/executorch/backends/cadence/aot/quantizer/patterns.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-06-05T23:29:49.4368509Z   copying src/executorch/backends/cadence/aot/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-06-05T23:29:49.4369788Z   copying src/executorch/backends/cadence/aot/quantizer/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-06-05T23:29:49.4370804Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-06-05T23:29:49.4372451Z   copying src/executorch/backends/cadence/aot/tests/test_decompose_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-06-05T23:29:49.4374410Z   copying src/executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-06-05T23:29:49.4375695Z   copying src/executorch/backends/cadence/aot/tests/test_graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-06-05T23:29:49.4376951Z   copying src/executorch/backends/cadence/aot/tests/test_memory_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-06-05T23:29:49.4378272Z   copying src/executorch/backends/cadence/aot/tests/test_pass_filter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-06-05T23:29:49.4379594Z   copying src/executorch/backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-06-05T23:29:49.4381921Z   copying src/executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-06-05T23:29:49.4384342Z   copying src/executorch/backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-06-05T23:29:49.4386440Z   copying src/executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-06-05T23:29:49.4387429Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO
2025-06-05T23:29:49.4388352Z   copying src/executorch/backends/cadence/utils/FACTO/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO
2025-06-05T23:29:49.4389340Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-06-05T23:29:49.4390451Z   copying src/executorch/backends/cadence/utils/FACTO/calibrator/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-06-05T23:29:49.4392895Z   copying src/executorch/backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-06-05T23:29:49.4394016Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-06-05T23:29:49.4582801Z   copying src/executorch/backends/cadence/utils/FACTO/examples/example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-06-05T23:29:49.4584299Z   copying src/executorch/backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-06-05T23:29:49.4585769Z   copying src/executorch/backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-06-05T23:29:49.4586846Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto
2025-06-05T23:29:49.4587958Z   copying src/executorch/backends/cadence/utils/FACTO/facto/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto
2025-06-05T23:29:49.4589153Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen
2025-06-05T23:29:49.4590319Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen
2025-06-05T23:29:49.4591453Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-06-05T23:29:49.4592639Z   copying src/executorch/backends/cadence/utils/FACTO/facto/specdb/db.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-06-05T23:29:49.4594109Z   copying src/executorch/backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-06-05T23:29:49.4595593Z   copying src/executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-06-05T23:29:49.4597186Z   copying src/executorch/backends/cadence/utils/FACTO/facto/specdb/function.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-06-05T23:29:49.4598436Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-06-05T23:29:49.4599803Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-06-05T23:29:49.4601533Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-06-05T23:29:49.4603278Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-06-05T23:29:49.4604570Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-06-05T23:29:49.4605875Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-06-05T23:29:49.4607671Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-06-05T23:29:49.4609388Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-06-05T23:29:49.4611091Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-06-05T23:29:49.4612465Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-06-05T23:29:49.4614002Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-06-05T23:29:49.4615757Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-06-05T23:29:49.4617505Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-06-05T23:29:49.4619263Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-06-05T23:29:49.4620685Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-06-05T23:29:49.4622023Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-06-05T23:29:49.4623676Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-06-05T23:29:49.4624978Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-06-05T23:29:49.4626225Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-06-05T23:29:49.4627907Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-06-05T23:29:49.4629558Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-06-05T23:29:49.4630942Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-06-05T23:29:49.4632692Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-06-05T23:29:49.4634417Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-06-05T23:29:49.4636207Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-06-05T23:29:49.4637954Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-06-05T23:29:49.4639668Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-06-05T23:29:49.4641455Z   copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-06-05T23:29:49.4642732Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4643936Z   copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4645678Z   copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4647454Z   copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4649087Z   copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4650705Z   copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4652365Z   copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4654163Z   copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4978317Z   copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_constraints.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4980119Z   copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4981671Z   copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_specs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4983281Z   copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4985099Z   copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4986793Z   copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4988405Z   copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4989999Z   copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-06-05T23:29:49.4991095Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/ops
2025-06-05T23:29:49.4992138Z   copying src/executorch/backends/cortex_m/ops/operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/ops
2025-06-05T23:29:49.4993063Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/passes
2025-06-05T23:29:49.4993996Z   copying src/executorch/backends/cortex_m/passes/replace_quant_nodes_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/passes
2025-06-05T23:29:49.4994914Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/test
2025-06-05T23:29:49.4995806Z   copying src/executorch/backends/cortex_m/test/test_replace_quant_nodes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/test
2025-06-05T23:29:49.4996845Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-06-05T23:29:49.4998170Z   copying src/executorch/backends/example/example_backend_delegate_passes/merge_to_dim_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-06-05T23:29:49.5000045Z   copying src/executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-06-05T23:29:49.5001270Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-06-05T23:29:49.5002344Z   copying src/executorch/backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-06-05T23:29:49.5003660Z   copying src/executorch/backends/example/example_operators/add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-06-05T23:29:49.5005013Z   copying src/executorch/backends/example/example_operators/conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-06-05T23:29:49.5006322Z   copying src/executorch/backends/example/example_operators/conv_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-06-05T23:29:49.5007887Z   copying src/executorch/backends/example/example_operators/dropout.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-06-05T23:29:49.5009478Z   copying src/executorch/backends/example/example_operators/flatten.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-06-05T23:29:49.5010845Z   copying src/executorch/backends/example/example_operators/linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-06-05T23:29:49.5012231Z   copying src/executorch/backends/example/example_operators/op_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-06-05T23:29:49.5013743Z   copying src/executorch/backends/example/example_operators/ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-06-05T23:29:49.5015130Z   copying src/executorch/backends/example/example_operators/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-06-05T23:29:49.5016298Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes
2025-06-05T23:29:49.5017242Z   copying src/executorch/backends/mediatek/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes
2025-06-05T23:29:49.5018579Z   copying src/executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes
2025-06-05T23:29:49.5019647Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-06-05T23:29:49.5020606Z   copying src/executorch/backends/mediatek/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-06-05T23:29:49.5021919Z   copying src/executorch/backends/mediatek/quantizer/annotator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-06-05T23:29:49.5023276Z   copying src/executorch/backends/mediatek/quantizer/qconfig.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-06-05T23:29:49.5024657Z   copying src/executorch/backends/mediatek/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-06-05T23:29:49.5025662Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/aten_passes
2025-06-05T23:29:49.5026662Z   copying src/executorch/backends/nxp/aten_passes/fuse_batch_norm_with_conv_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/aten_passes
2025-06-05T23:29:49.5028078Z   copying src/executorch/backends/nxp/aten_passes/fuse_batch_norm_with_linear_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/aten_passes
2025-06-05T23:29:49.5029658Z   copying src/executorch/backends/nxp/aten_passes/neutron_aten_pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/aten_passes
2025-06-05T23:29:49.5030625Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend
2025-06-05T23:29:49.5031538Z   copying src/executorch/backends/nxp/backend/edge_helper.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend
2025-06-05T23:29:49.5032714Z   copying src/executorch/backends/nxp/backend/edge_program_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend
2025-06-05T23:29:49.5033942Z   copying src/executorch/backends/nxp/backend/neutron_converter_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend
2025-06-05T23:29:49.5035203Z   copying src/executorch/backends/nxp/backend/node_format_inference.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend
2025-06-05T23:29:49.5036090Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/quantizer
2025-06-05T23:29:49.5036980Z   copying src/executorch/backends/nxp/quantizer/neutron_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/quantizer
2025-06-05T23:29:49.5038202Z   copying src/executorch/backends/nxp/quantizer/patterns.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/quantizer
2025-06-05T23:29:49.5039345Z   copying src/executorch/backends/nxp/quantizer/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/quantizer
2025-06-05T23:29:49.5040225Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests
2025-06-05T23:29:49.5041093Z   copying src/executorch/backends/nxp/tests/executorch_pipeline.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests
2025-06-05T23:29:49.5042296Z   copying src/executorch/backends/nxp/tests/executors.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests
2025-06-05T23:29:49.5043518Z   copying src/executorch/backends/nxp/tests/exported_program_vizualize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests
2025-06-05T23:29:49.5044744Z   copying src/executorch/backends/nxp/tests/models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests
2025-06-05T23:29:49.5045818Z   copying src/executorch/backends/nxp/tests/test_batch_norm_fusion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests
2025-06-05T23:29:49.5046934Z   copying src/executorch/backends/nxp/tests/test_neutron_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests
2025-06-05T23:29:49.5048081Z   copying src/executorch/backends/nxp/tests/test_neutron_converter_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests
2025-06-05T23:29:49.5292641Z   copying src/executorch/backends/nxp/tests/test_node_format_inference.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests
2025-06-05T23:29:49.5293944Z   copying src/executorch/backends/nxp/tests/test_operator_selector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests
2025-06-05T23:29:49.5295084Z   copying src/executorch/backends/nxp/tests/test_qdq_clustering_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests
2025-06-05T23:29:49.5296197Z   copying src/executorch/backends/nxp/tests/test_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests
2025-06-05T23:29:49.5297075Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir
2025-06-05T23:29:49.5298131Z   copying src/executorch/backends/nxp/backend/ir/conversion_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir
2025-06-05T23:29:49.5299354Z   copying src/executorch/backends/nxp/backend/ir/conversion_context.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir
2025-06-05T23:29:49.5300669Z   copying src/executorch/backends/nxp/backend/ir/logger.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir
2025-06-05T23:29:49.5301823Z   copying src/executorch/backends/nxp/backend/ir/tensor_formatting.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir
2025-06-05T23:29:49.5302779Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter
2025-06-05T23:29:49.5303778Z   copying src/executorch/backends/nxp/backend/ir/converter/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter
2025-06-05T23:29:49.5305295Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter
2025-06-05T23:29:49.5306712Z   copying src/executorch/backends/nxp/backend/ir/converter/quantization_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter
2025-06-05T23:29:49.5308190Z   copying src/executorch/backends/nxp/backend/ir/converter/tensor_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter
2025-06-05T23:29:49.5309197Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib
2025-06-05T23:29:49.5310094Z   copying src/executorch/backends/nxp/backend/ir/lib/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib
2025-06-05T23:29:49.5311194Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator
2025-06-05T23:29:49.5322515Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator
2025-06-05T23:29:49.5324160Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/tflite_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator
2025-06-05T23:29:49.5325425Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer
2025-06-05T23:29:49.5326529Z   copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer
2025-06-05T23:29:49.5328069Z   copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/graph_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer
2025-06-05T23:29:49.5329743Z   copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/operator_rules.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer
2025-06-05T23:29:49.5331217Z   copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer
2025-06-05T23:29:49.5332782Z   copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/pattern_matcher.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer
2025-06-05T23:29:49.5334369Z   copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/tensor_rules.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer
2025-06-05T23:29:49.5335497Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder
2025-06-05T23:29:49.5336681Z   copying src/executorch/backends/nxp/backend/ir/converter/builder/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder
2025-06-05T23:29:49.5338311Z   copying src/executorch/backends/nxp/backend/ir/converter/builder/aten_model_builder_director.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder
2025-06-05T23:29:49.5339915Z   copying src/executorch/backends/nxp/backend/ir/converter/builder/model_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder
2025-06-05T23:29:49.5341602Z   copying src/executorch/backends/nxp/backend/ir/converter/builder/quantization_verification.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder
2025-06-05T23:29:49.5342860Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion
2025-06-05T23:29:49.5344030Z   copying src/executorch/backends/nxp/backend/ir/converter/conversion/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion
2025-06-05T23:29:49.5345616Z   copying src/executorch/backends/nxp/backend/ir/converter/conversion/aten_translator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion
2025-06-05T23:29:49.5347208Z   copying src/executorch/backends/nxp/backend/ir/converter/conversion/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion
2025-06-05T23:29:49.5348840Z   copying src/executorch/backends/nxp/backend/ir/converter/conversion/translator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion
2025-06-05T23:29:49.5350082Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters
2025-06-05T23:29:49.5351326Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters
2025-06-05T23:29:49.5352674Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:49.5354120Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:49.5356451Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/addmm_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:49.5358496Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/avg_pool_2d_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:49.5360531Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/constant_pad_nd_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:49.5362559Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/convolution_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:49.5364769Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/max_pool_2d_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:49.5366731Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/mm_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:49.5368704Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/permute_copy_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:49.5370714Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_dequantize_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:49.5373000Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_quantize_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:49.5654621Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/relu_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:49.5656642Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/softmax_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:49.5658634Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/view_copy_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:49.5660400Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared
2025-06-05T23:29:49.5661746Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/shared/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared
2025-06-05T23:29:49.5663520Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/shared/recurrent_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared
2025-06-05T23:29:49.5665414Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/shared/reduce_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared
2025-06-05T23:29:49.5667490Z   copying src/executorch/backends/nxp/backend/ir/converter/node_converters/shared/reshape_transposition.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared
2025-06-05T23:29:49.5668785Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5669873Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ATan2Options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5671362Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/AbsOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5672839Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ActivationFunctionType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5674562Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/AddNOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5675968Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/AddOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5677387Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ArgMaxOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5678877Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ArgMinOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5680369Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/AssignVariableOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5682181Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/BatchMatMulOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5683714Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/BatchToSpaceNDOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5685452Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceLSTMOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5687171Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceRNNOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5688977Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/BitcastOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5690511Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/BitwiseXorOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5692025Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/BroadcastToOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5693673Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/BucketizeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5695123Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/Buffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5696829Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOperator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5698299Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5699745Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5701215Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/CallOnceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5702648Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/CallOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5704289Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/CastOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5705710Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/CombinerType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5707192Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ConcatEmbeddingsOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5708764Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ConcatenationOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5710256Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/Conv2DOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5711955Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/Conv3DOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5713376Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/CosOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5714796Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/CumsumOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5716265Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/CustomOptionsFormat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5717850Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/CustomQuantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5719429Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/DensifyOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5720997Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/DepthToSpaceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5722543Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/DepthwiseConv2DOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5724076Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/DequantizeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5725598Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/DilateOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.5727127Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/DimensionMetadata.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6050460Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/DimensionType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6051931Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/DivOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6053491Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/DynamicUpdateSliceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6055150Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/EmbeddingLookupSparseOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6056684Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/EqualOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6058410Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ExpOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6059861Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ExpandDimsOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6061348Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/FakeQuantOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6062814Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/FillOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6064244Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/FloorDivOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6065868Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/FloorModOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6067389Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6069018Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptionsWeightsFormat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6070631Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/GatherNdOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6072367Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/GatherOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6073793Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/GeluOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6075270Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/GreaterEqualOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6076763Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/GreaterOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6078219Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/HardSwishOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6079997Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/HashtableFindOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6081559Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/HashtableImportOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6083133Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/HashtableOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6084647Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/HashtableSizeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6086242Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/IfOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6087693Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/Int32Vector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6089113Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/L2NormOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6090632Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6092142Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6093830Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/LSTMKernelType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6095255Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/LSTMOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6096705Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/LeakyReluOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6098183Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/LessEqualOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6099618Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/LessOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6101390Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/LocalResponseNormalizationOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6103008Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/LogSoftmaxOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6104536Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/LogicalAndOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6106025Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/LogicalNotOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6107491Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/LogicalOrOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6109179Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/MatrixDiagOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6110686Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/MatrixSetDiagOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6112270Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/MaximumMinimumOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6113733Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/Metadata.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6115369Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadMode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6116816Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6118216Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/Model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6119587Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/MulOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6120972Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/NegOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6122725Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV4Options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6124356Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV5Options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6433933Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/NotEqualOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6435458Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/OneHotOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6436878Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/Operator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6438270Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/OperatorCode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6439849Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/PackOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6441238Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/PadOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6442647Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/PadV2Options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6444180Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/Padding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6445568Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/Pool2DOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6447301Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/PowOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6448760Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/QuantizationDetails.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6450284Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/QuantizationParameters.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6451876Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/QuantizeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6453377Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/RNNOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6454993Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/RandomOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6456449Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/RangeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6457953Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/RankOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6459623Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReadVariableOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6461162Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowFunction.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6462906Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6464402Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReducerOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6465856Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReshapeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6467340Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ResizeBilinearOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6469057Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ResizeNearestNeighborOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6470769Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReverseSequenceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6472283Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReverseV2Options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6473744Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/Rfft2dOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6475214Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/RightShiftOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6476870Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/RngAlgorithm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6478295Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SVDFOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6479748Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ScatterNdOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6481221Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SegmentSumOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6482689Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SelectOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6484309Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SelectV2Options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6485793Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SequenceRNNOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6487297Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ShapeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6488698Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SignOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6490114Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SignatureDef.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6491576Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SkipGramOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6493250Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SliceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6494730Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SoftmaxOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6496233Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SpaceToBatchNDOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6497752Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SpaceToDepthOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6499352Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SparseIndexVector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6500918Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SparseToDenseOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6502431Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SparsityParameters.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6503899Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SplitOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6505333Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SplitVOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6506804Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SquareOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6814424Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SquaredDifferenceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6816017Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SqueezeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6817586Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloBroadcastInDimOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6819222Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloCompareOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6820832Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonDirection.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6822569Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6824223Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloConcatenateOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6826011Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloConvolutionOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6827624Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloCustomCallOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6829396Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloDotGeneralOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6831086Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloDynamicSliceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6832745Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloGatherOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6834293Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloIotaOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6835824Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloPadOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6837361Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloPrecisionConfig.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6838989Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6840579Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceWindowOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6842241Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloRngBitGeneratorOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6843862Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloScatterOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6845409Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloSliceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6847062Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloSortOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6848635Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloTransposeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6850207Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloWhileOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6851742Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/StridedSliceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6853258Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SubGraph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6854742Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/SubOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6856116Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/Tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6857476Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/TensorMap.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6858900Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/TensorType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6860297Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/TileOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6861830Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/TopKV2Options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6863323Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/TransposeConvOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6864865Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/TransposeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6866301Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/Uint16Vector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6867716Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/Uint8Vector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6869322Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnidirectionalSequenceLSTMOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6870894Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/UniqueOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6872328Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnpackOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6873850Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMaxOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6875444Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMinOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6877098Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentProdOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6878739Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentSumOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6880265Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/VarHandleOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6881727Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/VariantSubType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6883160Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/WhereOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6884608Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/WhileOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6886090Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/ZerosLikeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.6887470Z   copying src/executorch/backends/nxp/backend/ir/lib/tflite/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:49.7115533Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7117033Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7118743Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/abs_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7120573Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_n_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7122467Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7124222Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_max_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7125977Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_min_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7127966Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/average_pool_2d_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7129967Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/batch_mat_mul_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7131862Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_lstm_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7133970Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_rnn_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7135913Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bitwise_xor_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7137793Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/broadcast_to_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7139588Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cast_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7141492Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/concatenation_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7143292Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_2d_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7145121Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_3d_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7146888Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cum_sum_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7148816Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depth_to_space_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7150665Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depthwise_conv_2d_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7152512Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/dequantize_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7154338Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/div_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7156200Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/equal_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7157963Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/exp_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7159725Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/floor_mod_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7161549Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/fully_connected_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7163464Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_nd_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7165250Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7166996Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gelu_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7168822Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_equal_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7170731Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7172515Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/hard_swish_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7174393Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/leaky_relu_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7176238Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_equal_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7178109Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7179952Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/log_softmax_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7181773Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_and_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7183626Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_not_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7185532Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_or_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7407640Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lrn_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7409472Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lstm_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7411255Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/max_pool_2d_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7413210Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/maximum_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7415018Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mean_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7416801Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/minimum_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7418594Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mirror_pad_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7420566Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mul_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7422412Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/multinomial_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7424205Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/neg_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7425978Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/not_equal_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7427878Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/one_hot_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7429865Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7431702Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_v2_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7433439Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pow_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7435261Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/quantize_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7437094Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/range_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7438925Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_max_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7440729Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_min_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7442531Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_prod_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7444371Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reshape_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7446313Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_bilinear_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7448224Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_nearest_neighbor_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7450101Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reverse_sequence_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7451983Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/scatter_nd_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7453893Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/select_v2_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7455804Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/shape_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7457744Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sign_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
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2025-06-05T23:29:49.7461339Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/softmax_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
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2025-06-05T23:29:49.7468939Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/square_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
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2025-06-05T23:29:49.7472647Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squeeze_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7474448Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/strided_slice_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:49.7476230Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sub_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
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2025-06-05T23:29:49.7732717Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_conv_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
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2025-06-05T23:29:49.7736693Z   copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_lstm_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
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2025-06-05T23:29:49.7756264Z   copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/eliminate_dead_branches.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:49.7758128Z   copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_activation_functions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:49.7760218Z   copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_fully_connected_and_add_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:49.7762141Z   copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_quanitze_into_preceding_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
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2025-06-05T23:29:49.7768005Z   copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/permute_fully_connected_weights_after_reshape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
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2025-06-05T23:29:49.7787835Z   copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_linear_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter
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2025-06-05T23:29:49.7793097Z   copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_relu_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter
2025-06-05T23:29:49.7794750Z   copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_softmax_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter
2025-06-05T23:29:49.7796427Z   copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_view_copy_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter
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2025-06-05T23:29:49.8153654Z   copying src/executorch/backends/openvino/tests/ops/base_openvino_op_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops
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2025-06-05T23:29:49.8161489Z   copying src/executorch/backends/openvino/tests/ops/test_mean.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops
2025-06-05T23:29:49.8162869Z   copying src/executorch/backends/openvino/tests/ops/test_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops
2025-06-05T23:29:49.8164304Z   copying src/executorch/backends/openvino/tests/ops/test_pooling.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops
2025-06-05T23:29:49.8165525Z   copying src/executorch/backends/openvino/tests/ops/test_unary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops
2025-06-05T23:29:49.8166745Z   copying src/executorch/backends/openvino/tests/ops/test_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops
2025-06-05T23:29:49.8167804Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8168668Z   copying src/executorch/backends/qualcomm/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8169926Z   copying src/executorch/backends/qualcomm/_passes/annotate_adaptive_avg_pool1d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8171500Z   copying src/executorch/backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8172692Z   copying src/executorch/backends/qualcomm/_passes/annotate_stack.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8173970Z   copying src/executorch/backends/qualcomm/_passes/annotate_unbind.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8175373Z   copying src/executorch/backends/qualcomm/_passes/build_quant_io.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8176626Z   copying src/executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8178067Z   copying src/executorch/backends/qualcomm/_passes/convert_conv1d_to_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8179414Z   copying src/executorch/backends/qualcomm/_passes/convert_square_to_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8180606Z   copying src/executorch/backends/qualcomm/_passes/decompose_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8181959Z   copying src/executorch/backends/qualcomm/_passes/decompose_cdist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8183293Z   copying src/executorch/backends/qualcomm/_passes/decompose_einsum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8184622Z   copying src/executorch/backends/qualcomm/_passes/decompose_expm1.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8186082Z   copying src/executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8187313Z   copying src/executorch/backends/qualcomm/_passes/decompose_roll.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8188495Z   copying src/executorch/backends/qualcomm/_passes/decompose_silu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8189854Z   copying src/executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8191180Z   copying src/executorch/backends/qualcomm/_passes/fixed_linear_keep_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8192642Z   copying src/executorch/backends/qualcomm/_passes/fold_qdq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8193874Z   copying src/executorch/backends/qualcomm/_passes/fuse_consecutive_cast.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8195132Z   copying src/executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8196331Z   copying src/executorch/backends/qualcomm/_passes/i64_to_i32.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8197590Z   copying src/executorch/backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8198778Z   copying src/executorch/backends/qualcomm/_passes/insert_requantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8200012Z   copying src/executorch/backends/qualcomm/_passes/layout_transform.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8201614Z   copying src/executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8202850Z   copying src/executorch/backends/qualcomm/_passes/qnn_pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8204063Z   copying src/executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8205501Z   copying src/executorch/backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8206769Z   copying src/executorch/backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8208136Z   copying src/executorch/backends/qualcomm/_passes/remove_0d_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8209479Z   copying src/executorch/backends/qualcomm/_passes/remove_redundancy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8210687Z   copying src/executorch/backends/qualcomm/_passes/replace_arange_args.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8211985Z   copying src/executorch/backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8213428Z   copying src/executorch/backends/qualcomm/_passes/replace_inf_values.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8214651Z   copying src/executorch/backends/qualcomm/_passes/tag_quant_io.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8216076Z   copying src/executorch/backends/qualcomm/_passes/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-06-05T23:29:49.8216971Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8217856Z   copying src/executorch/backends/qualcomm/builders/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8219030Z   copying src/executorch/backends/qualcomm/builders/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8220354Z   copying src/executorch/backends/qualcomm/builders/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8582331Z   copying src/executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8583790Z   copying src/executorch/backends/qualcomm/builders/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8585090Z   copying src/executorch/backends/qualcomm/builders/op_amax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8586282Z   copying src/executorch/backends/qualcomm/builders/op_and.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8587466Z   copying src/executorch/backends/qualcomm/builders/op_arange.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8588871Z   copying src/executorch/backends/qualcomm/builders/op_argmin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8590067Z   copying src/executorch/backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8591272Z   copying src/executorch/backends/qualcomm/builders/op_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8592558Z   copying src/executorch/backends/qualcomm/builders/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8593751Z   copying src/executorch/backends/qualcomm/builders/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8594911Z   copying src/executorch/backends/qualcomm/builders/op_ceil.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8596381Z   copying src/executorch/backends/qualcomm/builders/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8597578Z   copying src/executorch/backends/qualcomm/builders/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8598743Z   copying src/executorch/backends/qualcomm/builders/op_cos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8600013Z   copying src/executorch/backends/qualcomm/builders/op_cum_sum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8601218Z   copying src/executorch/backends/qualcomm/builders/op_depth_to_space.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8602557Z   copying src/executorch/backends/qualcomm/builders/op_dequantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8603986Z   copying src/executorch/backends/qualcomm/builders/op_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8605135Z   copying src/executorch/backends/qualcomm/builders/op_elu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8606379Z   copying src/executorch/backends/qualcomm/builders/op_embedding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8607559Z   copying src/executorch/backends/qualcomm/builders/op_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8608828Z   copying src/executorch/backends/qualcomm/builders/op_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8610036Z   copying src/executorch/backends/qualcomm/builders/op_expand.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8611372Z   copying src/executorch/backends/qualcomm/builders/op_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8612647Z   copying src/executorch/backends/qualcomm/builders/op_full_like.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8613944Z   copying src/executorch/backends/qualcomm/builders/op_gather.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8615101Z   copying src/executorch/backends/qualcomm/builders/op_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8616374Z   copying src/executorch/backends/qualcomm/builders/op_gelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8617612Z   copying src/executorch/backends/qualcomm/builders/op_group_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8618952Z   copying src/executorch/backends/qualcomm/builders/op_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8620179Z   copying src/executorch/backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8621390Z   copying src/executorch/backends/qualcomm/builders/op_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8622588Z   copying src/executorch/backends/qualcomm/builders/op_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8623887Z   copying src/executorch/backends/qualcomm/builders/op_index.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8625117Z   copying src/executorch/backends/qualcomm/builders/op_index_put.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8626536Z   copying src/executorch/backends/qualcomm/builders/op_instance_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8627820Z   copying src/executorch/backends/qualcomm/builders/op_layer_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8629188Z   copying src/executorch/backends/qualcomm/builders/op_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8630469Z   copying src/executorch/backends/qualcomm/builders/op_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8631618Z   copying src/executorch/backends/qualcomm/builders/op_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8632943Z   copying src/executorch/backends/qualcomm/builders/op_log_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8634380Z   copying src/executorch/backends/qualcomm/builders/op_logical_not.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8635553Z   copying src/executorch/backends/qualcomm/builders/op_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8636767Z   copying src/executorch/backends/qualcomm/builders/op_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8637927Z   copying src/executorch/backends/qualcomm/builders/op_max.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8639237Z   copying src/executorch/backends/qualcomm/builders/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8640466Z   copying src/executorch/backends/qualcomm/builders/op_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8641757Z   copying src/executorch/backends/qualcomm/builders/op_min.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8643056Z   copying src/executorch/backends/qualcomm/builders/op_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8644183Z   copying src/executorch/backends/qualcomm/builders/op_ne.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8645313Z   copying src/executorch/backends/qualcomm/builders/op_neg.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8646561Z   copying src/executorch/backends/qualcomm/builders/op_or.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8647753Z   copying src/executorch/backends/qualcomm/builders/op_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8648934Z   copying src/executorch/backends/qualcomm/builders/op_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8650325Z   copying src/executorch/backends/qualcomm/builders/op_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8651505Z   copying src/executorch/backends/qualcomm/builders/op_quantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.8652679Z   copying src/executorch/backends/qualcomm/builders/op_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9067456Z   copying src/executorch/backends/qualcomm/builders/op_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9068852Z   copying src/executorch/backends/qualcomm/builders/op_reshape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9070281Z   copying src/executorch/backends/qualcomm/builders/op_resize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9071552Z   copying src/executorch/backends/qualcomm/builders/op_rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9072895Z   copying src/executorch/backends/qualcomm/builders/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9074083Z   copying src/executorch/backends/qualcomm/builders/op_scalar_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9075310Z   copying src/executorch/backends/qualcomm/builders/op_select_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9076750Z   copying src/executorch/backends/qualcomm/builders/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9077957Z   copying src/executorch/backends/qualcomm/builders/op_sin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9079267Z   copying src/executorch/backends/qualcomm/builders/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9080622Z   copying src/executorch/backends/qualcomm/builders/op_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9081807Z   copying src/executorch/backends/qualcomm/builders/op_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9083142Z   copying src/executorch/backends/qualcomm/builders/op_space_to_depth.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9084370Z   copying src/executorch/backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9085635Z   copying src/executorch/backends/qualcomm/builders/op_sqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9087104Z   copying src/executorch/backends/qualcomm/builders/op_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9088282Z   copying src/executorch/backends/qualcomm/builders/op_stack.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9089444Z   copying src/executorch/backends/qualcomm/builders/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9090752Z   copying src/executorch/backends/qualcomm/builders/op_sum_int_list.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9091964Z   copying src/executorch/backends/qualcomm/builders/op_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9093239Z   copying src/executorch/backends/qualcomm/builders/op_to.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9094625Z   copying src/executorch/backends/qualcomm/builders/op_topk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9095794Z   copying src/executorch/backends/qualcomm/builders/op_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9096982Z   copying src/executorch/backends/qualcomm/builders/op_unbind.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9098300Z   copying src/executorch/backends/qualcomm/builders/op_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9099657Z   copying src/executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9101180Z   copying src/executorch/backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9102395Z   copying src/executorch/backends/qualcomm/builders/op_where.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9103588Z   copying src/executorch/backends/qualcomm/builders/qnn_constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9104916Z   copying src/executorch/backends/qualcomm/builders/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-06-05T23:29:49.9105851Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/debugger
2025-06-05T23:29:49.9106881Z   copying src/executorch/backends/qualcomm/debugger/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/debugger
2025-06-05T23:29:49.9107907Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-06-05T23:29:49.9108853Z   copying src/executorch/backends/qualcomm/partition/common_defs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-06-05T23:29:49.9110146Z   copying src/executorch/backends/qualcomm/partition/qnn_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-06-05T23:29:49.9111493Z   copying src/executorch/backends/qualcomm/partition/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-06-05T23:29:49.9112460Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-06-05T23:29:49.9113409Z   copying src/executorch/backends/qualcomm/quantizer/annotators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-06-05T23:29:49.9114894Z   copying src/executorch/backends/qualcomm/quantizer/custom_annotation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-06-05T23:29:49.9116186Z   copying src/executorch/backends/qualcomm/quantizer/qconfig.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-06-05T23:29:49.9117430Z   copying src/executorch/backends/qualcomm/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-06-05T23:29:49.9118473Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-06-05T23:29:49.9119518Z   copying src/executorch/backends/qualcomm/serialization/qc_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-06-05T23:29:49.9120948Z   copying src/executorch/backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-06-05T23:29:49.9122061Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-06-05T23:29:49.9122935Z   copying src/executorch/backends/qualcomm/tests/models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-06-05T23:29:49.9124075Z   copying src/executorch/backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-06-05T23:29:49.9125221Z   copying src/executorch/backends/qualcomm/tests/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-06-05T23:29:49.9126061Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils
2025-06-05T23:29:49.9127074Z   copying src/executorch/backends/qualcomm/utils/constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils
2025-06-05T23:29:49.9128197Z   copying src/executorch/backends/qualcomm/utils/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils
2025-06-05T23:29:49.9129381Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers
2025-06-05T23:29:49.9130740Z   copying src/executorch/backends/qualcomm/quantizer/observers/per_block_param_observer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers
2025-06-05T23:29:49.9132554Z   copying src/executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers
2025-06-05T23:29:49.9134068Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-06-05T23:29:49.9135105Z   copying src/executorch/backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-06-05T23:29:49.9136571Z   copying src/executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-06-05T23:29:49.9137851Z   copying src/executorch/backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-06-05T23:29:49.9138909Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-06-05T23:29:49.9527091Z   copying src/executorch/backends/vulkan/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-06-05T23:29:49.9528252Z   copying src/executorch/backends/vulkan/_passes/fuse_quantized_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-06-05T23:29:49.9529581Z   copying src/executorch/backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-06-05T23:29:49.9530799Z   copying src/executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-06-05T23:29:49.9532149Z   copying src/executorch/backends/vulkan/_passes/remove_asserts.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-06-05T23:29:49.9533711Z   copying src/executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-06-05T23:29:49.9534921Z   copying src/executorch/backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-06-05T23:29:49.9536129Z   copying src/executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-06-05T23:29:49.9537307Z   copying src/executorch/backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-06-05T23:29:49.9538222Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner
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2025-06-05T23:29:49.9540268Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/quantizer
2025-06-05T23:29:49.9541214Z   copying src/executorch/backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/quantizer
2025-06-05T23:29:49.9542137Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime
2025-06-05T23:29:49.9543022Z   copying src/executorch/backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime
2025-06-05T23:29:49.9543939Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-06-05T23:29:49.9545030Z   copying src/executorch/backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-06-05T23:29:49.9546613Z   copying src/executorch/backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-06-05T23:29:49.9548081Z   copying src/executorch/backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-06-05T23:29:49.9549049Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-06-05T23:29:49.9549923Z   copying src/executorch/backends/vulkan/test/test_serialization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-06-05T23:29:49.9551054Z   copying src/executorch/backends/vulkan/test/test_vulkan_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-06-05T23:29:49.9552291Z   copying src/executorch/backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-06-05T23:29:49.9553452Z   copying src/executorch/backends/vulkan/test/test_vulkan_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-06-05T23:29:49.9554330Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-06-05T23:29:49.9555254Z   copying src/executorch/backends/vulkan/test/op_tests/cases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-06-05T23:29:49.9556552Z   copying src/executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-06-05T23:29:49.9557879Z   copying src/executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-06-05T23:29:49.9559054Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-06-05T23:29:49.9560135Z   copying src/executorch/backends/vulkan/test/op_tests/utils/aten_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-06-05T23:29:49.9561564Z   copying src/executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-06-05T23:29:49.9563006Z   copying src/executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-06-05T23:29:49.9564388Z   copying src/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-06-05T23:29:49.9565779Z   copying src/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-06-05T23:29:49.9567135Z   copying src/executorch/backends/vulkan/test/op_tests/utils/test_suite.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-06-05T23:29:49.9568131Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/volk
2025-06-05T23:29:49.9569256Z   copying src/executorch/backends/vulkan/third-party/volk/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/volk
2025-06-05T23:29:49.9570332Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-06-05T23:29:49.9571707Z   copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-06-05T23:29:49.9573755Z   copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-06-05T23:29:49.9575492Z   copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-06-05T23:29:49.9577319Z   copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-06-05T23:29:49.9579034Z   copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-06-05T23:29:49.9580744Z   copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-06-05T23:29:49.9582556Z   copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-06-05T23:29:49.9583944Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2025-06-05T23:29:49.9585346Z   copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2025-06-05T23:29:49.9586825Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2025-06-05T23:29:49.9588447Z   copying src/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2025-06-05T23:29:49.9590118Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-06-05T23:29:49.9591244Z   copying src/executorch/backends/xnnpack/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-06-05T23:29:49.9592565Z   copying src/executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-06-05T23:29:49.9593876Z   copying src/executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-06-05T23:29:49.9595207Z   copying src/executorch/backends/xnnpack/_passes/convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-06-05T23:29:49.9596359Z   copying src/executorch/backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-06-05T23:29:49.9945751Z   copying src/executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-06-05T23:29:49.9947173Z   copying src/executorch/backends/xnnpack/_passes/decompose_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-06-05T23:29:49.9948350Z   copying src/executorch/backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-06-05T23:29:49.9949602Z   copying src/executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-06-05T23:29:49.9951226Z   copying src/executorch/backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-06-05T23:29:49.9952630Z   copying src/executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-06-05T23:29:49.9954051Z   copying src/executorch/backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-06-05T23:29:49.9954954Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9955854Z   copying src/executorch/backends/xnnpack/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9957048Z   copying src/executorch/backends/xnnpack/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9958370Z   copying src/executorch/backends/xnnpack/operators/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9959506Z   copying src/executorch/backends/xnnpack/operators/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9960796Z   copying src/executorch/backends/xnnpack/operators/op_addmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9962212Z   copying src/executorch/backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9963406Z   copying src/executorch/backends/xnnpack/operators/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9964623Z   copying src/executorch/backends/xnnpack/operators/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9965776Z   copying src/executorch/backends/xnnpack/operators/op_ceiling.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9967091Z   copying src/executorch/backends/xnnpack/operators/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9968265Z   copying src/executorch/backends/xnnpack/operators/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9969464Z   copying src/executorch/backends/xnnpack/operators/op_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9971123Z   copying src/executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9972653Z   copying src/executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9973968Z   copying src/executorch/backends/xnnpack/operators/op_elu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9975125Z   copying src/executorch/backends/xnnpack/operators/op_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9976277Z   copying src/executorch/backends/xnnpack/operators/op_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9977610Z   copying src/executorch/backends/xnnpack/operators/op_gelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9978861Z   copying src/executorch/backends/xnnpack/operators/op_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9980177Z   copying src/executorch/backends/xnnpack/operators/op_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9981463Z   copying src/executorch/backends/xnnpack/operators/op_leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9982634Z   copying src/executorch/backends/xnnpack/operators/op_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9983868Z   copying src/executorch/backends/xnnpack/operators/op_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9985098Z   copying src/executorch/backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9986453Z   copying src/executorch/backends/xnnpack/operators/op_max_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9987642Z   copying src/executorch/backends/xnnpack/operators/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9988836Z   copying src/executorch/backends/xnnpack/operators/op_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9990010Z   copying src/executorch/backends/xnnpack/operators/op_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9991238Z   copying src/executorch/backends/xnnpack/operators/op_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9992545Z   copying src/executorch/backends/xnnpack/operators/op_multiply.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9993737Z   copying src/executorch/backends/xnnpack/operators/op_negate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9995098Z   copying src/executorch/backends/xnnpack/operators/op_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9996451Z   copying src/executorch/backends/xnnpack/operators/op_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9997875Z   copying src/executorch/backends/xnnpack/operators/op_quant_dequant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:49.9999175Z   copying src/executorch/backends/xnnpack/operators/op_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:50.0000331Z   copying src/executorch/backends/xnnpack/operators/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:50.0001556Z   copying src/executorch/backends/xnnpack/operators/op_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:50.0002885Z   copying src/executorch/backends/xnnpack/operators/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:50.0004121Z   copying src/executorch/backends/xnnpack/operators/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:50.0005437Z   copying src/executorch/backends/xnnpack/operators/op_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:50.0006711Z   copying src/executorch/backends/xnnpack/operators/op_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:50.0007892Z   copying src/executorch/backends/xnnpack/operators/op_square.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:50.0009138Z   copying src/executorch/backends/xnnpack/operators/op_square_root.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:50.0010413Z   copying src/executorch/backends/xnnpack/operators/op_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:50.0011645Z   copying src/executorch/backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:50.0013395Z   copying src/executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:50.0014841Z   copying src/executorch/backends/xnnpack/operators/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:50.0016154Z   copying src/executorch/backends/xnnpack/operators/op_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:50.0366048Z   copying src/executorch/backends/xnnpack/operators/quant_params.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-06-05T23:29:50.0367036Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition
2025-06-05T23:29:50.0368001Z   copying src/executorch/backends/xnnpack/partition/configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition
2025-06-05T23:29:50.0369335Z   copying src/executorch/backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition
2025-06-05T23:29:50.0370557Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer
2025-06-05T23:29:50.0371740Z   copying src/executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer
2025-06-05T23:29:50.0373108Z   copying src/executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer
2025-06-05T23:29:50.0374242Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-06-05T23:29:50.0375273Z   copying src/executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-06-05T23:29:50.0376792Z   copying src/executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-06-05T23:29:50.0377865Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test
2025-06-05T23:29:50.0378909Z   copying src/executorch/backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test
2025-06-05T23:29:50.0380268Z   copying src/executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test
2025-06-05T23:29:50.0381222Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party
2025-06-05T23:29:50.0382244Z   copying src/executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party
2025-06-05T23:29:50.0383385Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-06-05T23:29:50.0384239Z   copying src/executorch/backends/xnnpack/utils/configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-06-05T23:29:50.0385422Z   copying src/executorch/backends/xnnpack/utils/quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-06-05T23:29:50.0386719Z   copying src/executorch/backends/xnnpack/utils/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-06-05T23:29:50.0387849Z   copying src/executorch/backends/xnnpack/utils/xnnpack_constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-06-05T23:29:50.0388813Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-06-05T23:29:50.0389956Z   copying src/executorch/backends/xnnpack/partition/config/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-06-05T23:29:50.0391278Z   copying src/executorch/backends/xnnpack/partition/config/gemm_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-06-05T23:29:50.0392871Z   copying src/executorch/backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-06-05T23:29:50.0394356Z   copying src/executorch/backends/xnnpack/partition/config/node_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-06-05T23:29:50.0395755Z   copying src/executorch/backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-06-05T23:29:50.0397176Z   copying src/executorch/backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-06-05T23:29:50.0398220Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-06-05T23:29:50.0399264Z   copying src/executorch/backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-06-05T23:29:50.0400755Z   copying src/executorch/backends/xnnpack/partition/graphs/sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-06-05T23:29:50.0401745Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-06-05T23:29:50.0402760Z   copying src/executorch/backends/xnnpack/test/models/deeplab_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-06-05T23:29:50.0404211Z   copying src/executorch/backends/xnnpack/test/models/edsr.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-06-05T23:29:50.0405448Z   copying src/executorch/backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-06-05T23:29:50.0406708Z   copying src/executorch/backends/xnnpack/test/models/inception_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-06-05T23:29:50.0407955Z   copying src/executorch/backends/xnnpack/test/models/inception_v4.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-06-05T23:29:50.0409225Z   copying src/executorch/backends/xnnpack/test/models/llama2_et_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-06-05T23:29:50.0410538Z   copying src/executorch/backends/xnnpack/test/models/mobilebert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-06-05T23:29:50.0411780Z   copying src/executorch/backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-06-05T23:29:50.0413150Z   copying src/executorch/backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-06-05T23:29:50.0414515Z   copying src/executorch/backends/xnnpack/test/models/resnet.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-06-05T23:29:50.0415763Z   copying src/executorch/backends/xnnpack/test/models/torchvision_vit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-06-05T23:29:50.0417033Z   copying src/executorch/backends/xnnpack/test/models/very_big_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-06-05T23:29:50.0418227Z   copying src/executorch/backends/xnnpack/test/models/w2l.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-06-05T23:29:50.0419127Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0420028Z   copying src/executorch/backends/xnnpack/test/ops/test_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0421158Z   copying src/executorch/backends/xnnpack/test/ops/test_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0422582Z   copying src/executorch/backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0423821Z   copying src/executorch/backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0425034Z   copying src/executorch/backends/xnnpack/test/ops/test_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0426398Z   copying src/executorch/backends/xnnpack/test/ops/test_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0427539Z   copying src/executorch/backends/xnnpack/test/ops/test_ceil.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0428973Z   copying src/executorch/backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0430446Z   copying src/executorch/backends/xnnpack/test/ops/test_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0431664Z   copying src/executorch/backends/xnnpack/test/ops/test_conv1d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0432892Z   copying src/executorch/backends/xnnpack/test/ops/test_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0434251Z   copying src/executorch/backends/xnnpack/test/ops/test_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0435385Z   copying src/executorch/backends/xnnpack/test/ops/test_elu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0436534Z   copying src/executorch/backends/xnnpack/test/ops/test_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0784916Z   copying src/executorch/backends/xnnpack/test/ops/test_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0786137Z   copying src/executorch/backends/xnnpack/test/ops/test_gelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0787470Z   copying src/executorch/backends/xnnpack/test/ops/test_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0788673Z   copying src/executorch/backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0789897Z   copying src/executorch/backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0791211Z   copying src/executorch/backends/xnnpack/test/ops/test_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0792374Z   copying src/executorch/backends/xnnpack/test/ops/test_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0793531Z   copying src/executorch/backends/xnnpack/test/ops/test_lstm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0794703Z   copying src/executorch/backends/xnnpack/test/ops/test_max_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0795867Z   copying src/executorch/backends/xnnpack/test/ops/test_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0797061Z   copying src/executorch/backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0798257Z   copying src/executorch/backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0799674Z   copying src/executorch/backends/xnnpack/test/ops/test_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0800976Z   copying src/executorch/backends/xnnpack/test/ops/test_multiply.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0802158Z   copying src/executorch/backends/xnnpack/test/ops/test_negate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0803359Z   copying src/executorch/backends/xnnpack/test/ops/test_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0804545Z   copying src/executorch/backends/xnnpack/test/ops/test_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0805801Z   copying src/executorch/backends/xnnpack/test/ops/test_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0807030Z   copying src/executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0808262Z   copying src/executorch/backends/xnnpack/test/ops/test_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0809472Z   copying src/executorch/backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0810638Z   copying src/executorch/backends/xnnpack/test/ops/test_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0811802Z   copying src/executorch/backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0813123Z   copying src/executorch/backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0814335Z   copying src/executorch/backends/xnnpack/test/ops/test_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0815535Z   copying src/executorch/backends/xnnpack/test/ops/test_sqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0816863Z   copying src/executorch/backends/xnnpack/test/ops/test_square.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0818192Z   copying src/executorch/backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0819402Z   copying src/executorch/backends/xnnpack/test/ops/test_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-06-05T23:29:50.0820312Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
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2025-06-05T23:29:50.0822634Z   copying src/executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-06-05T23:29:50.0824010Z   copying src/executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-06-05T23:29:50.0825482Z   copying src/executorch/backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-06-05T23:29:50.0826810Z   copying src/executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-06-05T23:29:50.0828213Z   copying src/executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-06-05T23:29:50.0829776Z   copying src/executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
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2025-06-05T23:29:50.0833396Z   copying src/executorch/backends/xnnpack/test/quantizer/test_representation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-06-05T23:29:50.0834794Z   copying src/executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer
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2025-06-05T23:29:50.1413140Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-06-05T23:29:50.1414942Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
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2025-06-05T23:29:50.1419311Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
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2025-06-05T23:29:50.1422633Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1424597Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1426264Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1427876Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1429707Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1431635Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1433265Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1434856Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1436475Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1438482Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1440202Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1441904Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1443531Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1445468Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1447491Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1449328Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1451025Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1452695Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1454564Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1456562Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1458391Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1460142Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1461659Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1463141Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:50.1464303Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-06-05T23:29:50.1465574Z   copying src/executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-06-05T23:29:50.1467344Z   copying src/executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-06-05T23:29:50.1469007Z   copying src/executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-06-05T23:29:50.1470235Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2025-06-05T23:29:50.1471528Z   copying src/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2025-06-05T23:29:50.1472759Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api
2025-06-05T23:29:50.1473584Z   copying src/executorch/codegen/api/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api
2025-06-05T23:29:50.1474641Z   copying src/executorch/codegen/api/custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api
2025-06-05T23:29:50.1475500Z   copying src/executorch/codegen/api/et_cpp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api
2025-06-05T23:29:50.1476366Z   copying src/executorch/codegen/api/unboxing.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api
2025-06-05T23:29:50.1796243Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test
2025-06-05T23:29:50.1797120Z   copying src/executorch/codegen/test/test_executorch_custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test
2025-06-05T23:29:50.1798152Z   copying src/executorch/codegen/test/test_executorch_gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test
2025-06-05T23:29:50.1799182Z   copying src/executorch/codegen/test/test_executorch_signatures.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test
2025-06-05T23:29:50.1800355Z   copying src/executorch/codegen/test/test_executorch_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test
2025-06-05T23:29:50.1801390Z   copying src/executorch/codegen/test/test_executorch_unboxing.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test
2025-06-05T23:29:50.1802467Z   copying src/executorch/codegen/test/test_selective_build.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test
2025-06-05T23:29:50.1803304Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-06-05T23:29:50.1804038Z   copying src/executorch/codegen/tools/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-06-05T23:29:50.1805067Z   copying src/executorch/codegen/tools/gen_all_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-06-05T23:29:50.1806080Z   copying src/executorch/codegen/tools/gen_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-06-05T23:29:50.1807001Z   copying src/executorch/codegen/tools/gen_ops_def.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-06-05T23:29:50.1807989Z   copying src/executorch/codegen/tools/gen_selected_op_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-06-05T23:29:50.1808985Z   copying src/executorch/codegen/tools/merge_yaml.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-06-05T23:29:50.1809909Z   copying src/executorch/codegen/tools/yaml_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-06-05T23:29:50.1810673Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/types
2025-06-05T23:29:50.1811435Z   copying src/executorch/codegen/api/types/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/types
2025-06-05T23:29:50.1812557Z   copying src/executorch/codegen/api/types/signatures.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/types
2025-06-05T23:29:50.1813657Z   copying src/executorch/codegen/api/types/types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/types
2025-06-05T23:29:50.1814516Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-06-05T23:29:50.1815366Z   copying src/executorch/codegen/tools/test/test_gen_all_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-06-05T23:29:50.1816433Z   copying src/executorch/codegen/tools/test/test_gen_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-06-05T23:29:50.1817604Z   copying src/executorch/codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-06-05T23:29:50.1831729Z   copying src/executorch/codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-06-05T23:29:50.1832669Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug
2025-06-05T23:29:50.1833665Z   copying src/executorch/devtools/backend_debug/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug
2025-06-05T23:29:50.1834824Z   copying src/executorch/devtools/backend_debug/delegation_info.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug
2025-06-05T23:29:50.1835801Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-06-05T23:29:50.1836850Z   copying src/executorch/devtools/bundled_program/config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-06-05T23:29:50.1837925Z   copying src/executorch/devtools/bundled_program/core.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-06-05T23:29:50.1839011Z   copying src/executorch/devtools/bundled_program/version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-06-05T23:29:50.1839935Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format
2025-06-05T23:29:50.1840758Z   copying src/executorch/devtools/debug_format/base_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format
2025-06-05T23:29:50.1841809Z   copying src/executorch/devtools/debug_format/et_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format
2025-06-05T23:29:50.1842611Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-06-05T23:29:50.1843390Z   copying src/executorch/devtools/etdump/schema_flatcc.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-06-05T23:29:50.1844394Z   copying src/executorch/devtools/etdump/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-06-05T23:29:50.1845159Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord
2025-06-05T23:29:50.1846098Z   copying src/executorch/devtools/etrecord/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord
2025-06-05T23:29:50.1847144Z   copying src/executorch/devtools/etrecord/_etrecord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord
2025-06-05T23:29:50.1847920Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-06-05T23:29:50.1848712Z   copying src/executorch/devtools/inspector/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-06-05T23:29:50.1849709Z   copying src/executorch/devtools/inspector/_inspector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-06-05T23:29:50.1850767Z   copying src/executorch/devtools/inspector/_inspector_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-06-05T23:29:50.1851900Z   copying src/executorch/devtools/inspector/_intermediate_output_capturer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-06-05T23:29:50.1853100Z   copying src/executorch/devtools/inspector/inspector_cli.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-06-05T23:29:50.1853966Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool
2025-06-05T23:29:50.1854884Z   copying src/executorch/devtools/size_analysis_tool/size_analysis_tool.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool
2025-06-05T23:29:50.1856208Z   copying src/executorch/devtools/size_analysis_tool/size_analysis_tool_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool
2025-06-05T23:29:50.1857201Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-06-05T23:29:50.1858107Z   copying src/executorch/devtools/visualization/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-06-05T23:29:50.1859264Z   copying src/executorch/devtools/visualization/visualization_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-06-05T23:29:50.1860493Z   copying src/executorch/devtools/visualization/visualization_utils_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-06-05T23:29:50.1861448Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/tests
2025-06-05T23:29:50.1862412Z   copying src/executorch/devtools/backend_debug/tests/test_delegation_info.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/tests
2025-06-05T23:29:50.1863463Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-06-05T23:29:50.1864475Z   copying src/executorch/devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-06-05T23:29:50.1865791Z   copying src/executorch/devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-06-05T23:29:50.1866864Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-06-05T23:29:50.1867865Z   copying src/executorch/devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-06-05T23:29:50.1868814Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-06-05T23:29:50.1869783Z   copying src/executorch/devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-06-05T23:29:50.1871017Z   copying src/executorch/devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-06-05T23:29:50.1872349Z   copying src/executorch/devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-06-05T23:29:50.1873332Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util
2025-06-05T23:29:50.1874267Z   copying src/executorch/devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util
2025-06-05T23:29:50.1875217Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-06-05T23:29:50.2215236Z   copying src/executorch/devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-06-05T23:29:50.2216353Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-06-05T23:29:50.2217472Z   copying src/executorch/devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-06-05T23:29:50.2218788Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/tests
2025-06-05T23:29:50.2219668Z   copying src/executorch/devtools/etdump/tests/serialize_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/tests
2025-06-05T23:29:50.2220561Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/tests
2025-06-05T23:29:50.2221462Z   copying src/executorch/devtools/etrecord/tests/etrecord_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/tests
2025-06-05T23:29:50.2222349Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-06-05T23:29:50.2223283Z   copying src/executorch/devtools/inspector/tests/event_blocks_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-06-05T23:29:50.2224831Z   copying src/executorch/devtools/inspector/tests/inspector_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-06-05T23:29:50.2227018Z   copying src/executorch/devtools/inspector/tests/inspector_test_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-06-05T23:29:50.2228435Z   copying src/executorch/devtools/inspector/tests/inspector_utils_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-06-05T23:29:50.2229947Z   copying src/executorch/devtools/inspector/tests/intermediate_output_capturer_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-06-05T23:29:50.2230967Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-06-05T23:29:50.2231969Z   copying src/executorch/examples/llm_pte_finetuning/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-06-05T23:29:50.2233273Z   copying src/executorch/examples/llm_pte_finetuning/model_exporter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-06-05T23:29:50.2235399Z   copying src/executorch/examples/llm_pte_finetuning/model_loading_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-06-05T23:29:50.2236845Z   copying src/executorch/examples/llm_pte_finetuning/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-06-05T23:29:50.2238043Z   copying src/executorch/examples/llm_pte_finetuning/training_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-06-05T23:29:50.2238943Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-06-05T23:29:50.2239691Z   copying src/executorch/examples/models/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-06-05T23:29:50.2240674Z   copying src/executorch/examples/models/checkpoint.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-06-05T23:29:50.2241647Z   copying src/executorch/examples/models/model_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-06-05T23:29:50.2242770Z   copying src/executorch/examples/models/model_factory.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-06-05T23:29:50.2244244Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-06-05T23:29:50.2245763Z   copying src/executorch/examples/apple/coreml/llama/export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-06-05T23:29:50.2247050Z   copying src/executorch/examples/apple/coreml/llama/llama_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-06-05T23:29:50.2248496Z   copying src/executorch/examples/apple/coreml/llama/run.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-06-05T23:29:50.2249662Z   copying src/executorch/examples/apple/coreml/llama/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-06-05T23:29:50.2250848Z   copying src/executorch/examples/apple/coreml/llama/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-06-05T23:29:50.2251769Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts
2025-06-05T23:29:50.2253814Z   copying src/executorch/examples/apple/coreml/scripts/debugger_cli.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts
2025-06-05T23:29:50.2256268Z   copying src/executorch/examples/apple/coreml/scripts/export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts
2025-06-05T23:29:50.2258036Z   copying src/executorch/examples/apple/coreml/scripts/extract_coreml_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts
2025-06-05T23:29:50.2259512Z   copying src/executorch/examples/apple/coreml/scripts/inspector_cli.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts
2025-06-05T23:29:50.2261262Z   copying src/executorch/examples/apple/coreml/scripts/inspector_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts
2025-06-05T23:29:50.2262990Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/mps/scripts
2025-06-05T23:29:50.2264119Z   copying src/executorch/examples/apple/mps/scripts/bench_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/mps/scripts
2025-06-05T23:29:50.2265517Z   copying src/executorch/examples/apple/mps/scripts/mps_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/mps/scripts
2025-06-05T23:29:50.2266742Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3
2025-06-05T23:29:50.2267824Z   copying src/executorch/examples/models/deeplab_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3
2025-06-05T23:29:50.2269116Z   copying src/executorch/examples/models/deeplab_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3
2025-06-05T23:29:50.2270073Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr
2025-06-05T23:29:50.2270975Z   copying src/executorch/examples/models/edsr/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr
2025-06-05T23:29:50.2271997Z   copying src/executorch/examples/models/edsr/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr
2025-06-05T23:29:50.2272851Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam
2025-06-05T23:29:50.2274458Z   copying src/executorch/examples/models/efficient_sam/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam
2025-06-05T23:29:50.2276453Z   copying src/executorch/examples/models/efficient_sam/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam
2025-06-05T23:29:50.2277447Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt
2025-06-05T23:29:50.2278507Z   copying src/executorch/examples/models/emformer_rnnt/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt
2025-06-05T23:29:50.2279727Z   copying src/executorch/examples/models/emformer_rnnt/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt
2025-06-05T23:29:50.2280644Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3
2025-06-05T23:29:50.2281570Z   copying src/executorch/examples/models/inception_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3
2025-06-05T23:29:50.2282748Z   copying src/executorch/examples/models/inception_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3
2025-06-05T23:29:50.2283647Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4
2025-06-05T23:29:50.2284767Z   copying src/executorch/examples/models/inception_v4/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4
2025-06-05T23:29:50.2286814Z   copying src/executorch/examples/models/inception_v4/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4
2025-06-05T23:29:50.2287884Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2288775Z   copying src/executorch/examples/models/llama/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2289858Z   copying src/executorch/examples/models/llama/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2291028Z   copying src/executorch/examples/models/llama/eval_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2292633Z   copying src/executorch/examples/models/llama/eval_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2294602Z   copying src/executorch/examples/models/llama/export_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2630126Z   copying src/executorch/examples/models/llama/export_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2631325Z   copying src/executorch/examples/models/llama/fairseq2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2632427Z   copying src/executorch/examples/models/llama/hf_download.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2634425Z   copying src/executorch/examples/models/llama/install_requirement_helper.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2636373Z   copying src/executorch/examples/models/llama/llama_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2637667Z   copying src/executorch/examples/models/llama/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2638857Z   copying src/executorch/examples/models/llama/model_args.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2639928Z   copying src/executorch/examples/models/llama/norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2640948Z   copying src/executorch/examples/models/llama/rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2642054Z   copying src/executorch/examples/models/llama/static_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-06-05T23:29:50.2643553Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision
2025-06-05T23:29:50.2645179Z   copying src/executorch/examples/models/llama3_2_vision/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision
2025-06-05T23:29:50.2646248Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-06-05T23:29:50.2647141Z   copying src/executorch/examples/models/llava/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-06-05T23:29:50.2648229Z   copying src/executorch/examples/models/llava/export_llava.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-06-05T23:29:50.2649313Z   copying src/executorch/examples/models/llava/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-06-05T23:29:50.2650128Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm
2025-06-05T23:29:50.2651043Z   copying src/executorch/examples/models/lstm/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm
2025-06-05T23:29:50.2652860Z   copying src/executorch/examples/models/lstm/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm
2025-06-05T23:29:50.2654166Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert
2025-06-05T23:29:50.2655079Z   copying src/executorch/examples/models/mobilebert/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert
2025-06-05T23:29:50.2656345Z   copying src/executorch/examples/models/mobilebert/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert
2025-06-05T23:29:50.2657254Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2
2025-06-05T23:29:50.2658165Z   copying src/executorch/examples/models/mobilenet_v2/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2
2025-06-05T23:29:50.2659415Z   copying src/executorch/examples/models/mobilenet_v2/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2
2025-06-05T23:29:50.2660342Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3
2025-06-05T23:29:50.2661257Z   copying src/executorch/examples/models/mobilenet_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3
2025-06-05T23:29:50.2662952Z   copying src/executorch/examples/models/mobilenet_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3
2025-06-05T23:29:50.2664583Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini-lora
2025-06-05T23:29:50.2665575Z   copying src/executorch/examples/models/phi-3-mini-lora/export_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini-lora
2025-06-05T23:29:50.2666814Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-06-05T23:29:50.2667717Z   copying src/executorch/examples/models/phi-3-mini/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-06-05T23:29:50.2668833Z   copying src/executorch/examples/models/phi-3-mini/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-06-05T23:29:50.2670054Z   copying src/executorch/examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-06-05T23:29:50.2671225Z   copying src/executorch/examples/models/phi-3-mini/phi_3_mini.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-06-05T23:29:50.2672395Z   copying src/executorch/examples/models/phi-3-mini/static_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-06-05T23:29:50.2673774Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi_4_mini
2025-06-05T23:29:50.2675299Z   copying src/executorch/examples/models/phi_4_mini/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi_4_mini
2025-06-05T23:29:50.2677365Z   copying src/executorch/examples/models/phi_4_mini/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi_4_mini
2025-06-05T23:29:50.2678812Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5
2025-06-05T23:29:50.2679723Z   copying src/executorch/examples/models/qwen2_5/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5
2025-06-05T23:29:50.2680961Z   copying src/executorch/examples/models/qwen2_5/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5
2025-06-05T23:29:50.2681834Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen3
2025-06-05T23:29:50.2682677Z   copying src/executorch/examples/models/qwen3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen3
2025-06-05T23:29:50.2683915Z   copying src/executorch/examples/models/qwen3/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen3
2025-06-05T23:29:50.2685421Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet
2025-06-05T23:29:50.2686766Z   copying src/executorch/examples/models/resnet/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet
2025-06-05T23:29:50.2687897Z   copying src/executorch/examples/models/resnet/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet
2025-06-05T23:29:50.2688766Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/smollm2
2025-06-05T23:29:50.2689630Z   copying src/executorch/examples/models/smollm2/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/smollm2
2025-06-05T23:29:50.2690843Z   copying src/executorch/examples/models/smollm2/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/smollm2
2025-06-05T23:29:50.2691734Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test
2025-06-05T23:29:50.2692841Z   copying src/executorch/examples/models/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test
2025-06-05T23:29:50.2694811Z   copying src/executorch/examples/models/test/test_export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test
2025-06-05T23:29:50.2696317Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit
2025-06-05T23:29:50.2698011Z   copying src/executorch/examples/models/torchvision_vit/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit
2025-06-05T23:29:50.2699403Z   copying src/executorch/examples/models/torchvision_vit/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit
2025-06-05T23:29:50.2700462Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model
2025-06-05T23:29:50.2701321Z   copying src/executorch/examples/models/toy_model/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model
2025-06-05T23:29:50.2702424Z   copying src/executorch/examples/models/toy_model/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model
2025-06-05T23:29:50.2703535Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter
2025-06-05T23:29:50.2705100Z   copying src/executorch/examples/models/wav2letter/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter
2025-06-05T23:29:50.2706686Z   copying src/executorch/examples/models/wav2letter/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter
2025-06-05T23:29:50.2707759Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-06-05T23:29:50.2709019Z   copying src/executorch/examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-06-05T23:29:50.2999235Z   copying src/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-06-05T23:29:50.3000945Z   copying src/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-06-05T23:29:50.3003898Z   copying src/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-06-05T23:29:50.3006724Z   copying src/executorch/examples/models/efficient_sam/efficient_sam_core/mlp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-06-05T23:29:50.3008628Z   copying src/executorch/examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-06-05T23:29:50.3009810Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate
2025-06-05T23:29:50.3010782Z   copying src/executorch/examples/models/llama/evaluate/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate
2025-06-05T23:29:50.3012021Z   copying src/executorch/examples/models/llama/evaluate/eager_eval.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate
2025-06-05T23:29:50.3013647Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-06-05T23:29:50.3015572Z   copying src/executorch/examples/models/llama/experimental/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-06-05T23:29:50.3017069Z   copying src/executorch/examples/models/llama/experimental/load_gguf_q4_0.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-06-05T23:29:50.3018457Z   copying src/executorch/examples/models/llama/experimental/subclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-06-05T23:29:50.3019833Z   copying src/executorch/examples/models/llama/experimental/test_subclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-06-05T23:29:50.3020908Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-06-05T23:29:50.3022520Z   copying src/executorch/examples/models/llama/runner/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-06-05T23:29:50.3024352Z   copying src/executorch/examples/models/llama/runner/generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-06-05T23:29:50.3025661Z   copying src/executorch/examples/models/llama/runner/native.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-06-05T23:29:50.3026668Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3027896Z   copying src/executorch/examples/models/llama/source_transformation/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3030253Z   copying src/executorch/examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3032449Z   copying src/executorch/examples/models/llama/source_transformation/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3034087Z   copying src/executorch/examples/models/llama/source_transformation/attention_sink.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3035725Z   copying src/executorch/examples/models/llama/source_transformation/custom_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3037498Z   copying src/executorch/examples/models/llama/source_transformation/lora.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3040113Z   copying src/executorch/examples/models/llama/source_transformation/pre_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3042798Z   copying src/executorch/examples/models/llama/source_transformation/prune_vocab.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3044331Z   copying src/executorch/examples/models/llama/source_transformation/quantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3045825Z   copying src/executorch/examples/models/llama/source_transformation/rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3047305Z   copying src/executorch/examples/models/llama/source_transformation/rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3049432Z   copying src/executorch/examples/models/llama/source_transformation/sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3052046Z   copying src/executorch/examples/models/llama/source_transformation/spin_quant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3054559Z   copying src/executorch/examples/models/llama/source_transformation/test_attention_sink.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3056154Z   copying src/executorch/examples/models/llama/source_transformation/test_quantized_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3057747Z   copying src/executorch/examples/models/llama/source_transformation/test_quantized_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3059931Z   copying src/executorch/examples/models/llama/source_transformation/test_sdpa_with_quantized_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3062309Z   copying src/executorch/examples/models/llama/source_transformation/vulkan_rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-06-05T23:29:50.3063394Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-06-05T23:29:50.3064359Z   copying src/executorch/examples/models/llama/tests/test_export_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-06-05T23:29:50.3065792Z   copying src/executorch/examples/models/llama/tests/test_pre_quantization_transforms.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-06-05T23:29:50.3067604Z   copying src/executorch/examples/models/llama/tests/test_replace_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-06-05T23:29:50.3069940Z   copying src/executorch/examples/models/llama/tests/test_ring_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-06-05T23:29:50.3072184Z   copying src/executorch/examples/models/llama/tests/test_ring_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-06-05T23:29:50.3074468Z   copying src/executorch/examples/models/llama/tests/test_simple_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-06-05T23:29:50.3076135Z   copying src/executorch/examples/models/llama/tests/test_static_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-06-05T23:29:50.3077142Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tokenizer
2025-06-05T23:29:50.3078126Z   copying src/executorch/examples/models/llama/tokenizer/tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tokenizer
2025-06-05T23:29:50.3079178Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-06-05T23:29:50.3080316Z   copying src/executorch/examples/models/llama3_2_vision/preprocess/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-06-05T23:29:50.3082952Z   copying src/executorch/examples/models/llama3_2_vision/preprocess/export_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-06-05T23:29:50.3085600Z   copying src/executorch/examples/models/llama3_2_vision/preprocess/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-06-05T23:29:50.3451923Z   copying src/executorch/examples/models/llama3_2_vision/preprocess/test_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-06-05T23:29:50.3453168Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-06-05T23:29:50.3454461Z   copying src/executorch/examples/models/llama3_2_vision/runner/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-06-05T23:29:50.3456063Z   copying src/executorch/examples/models/llama3_2_vision/runner/exported.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-06-05T23:29:50.3457495Z   copying src/executorch/examples/models/llama3_2_vision/runner/generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-06-05T23:29:50.3458939Z   copying src/executorch/examples/models/llama3_2_vision/runner/native.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-06-05T23:29:50.3460018Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder
2025-06-05T23:29:50.3461290Z   copying src/executorch/examples/models/llama3_2_vision/text_decoder/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder
2025-06-05T23:29:50.3462594Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-06-05T23:29:50.3463801Z   copying src/executorch/examples/models/llama3_2_vision/vision_encoder/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-06-05T23:29:50.3465377Z   copying src/executorch/examples/models/llama3_2_vision/vision_encoder/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-06-05T23:29:50.3466614Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-06-05T23:29:50.3467802Z   copying src/executorch/examples/models/llama3_2_vision/text_decoder/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-06-05T23:29:50.3469387Z   copying src/executorch/examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-06-05T23:29:50.3470853Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-06-05T23:29:50.3472141Z   copying src/executorch/examples/models/llama3_2_vision/vision_encoder/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-06-05T23:29:50.3473852Z   copying src/executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-06-05T23:29:50.3475100Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test
2025-06-05T23:29:50.3476044Z   copying src/executorch/examples/models/llava/test/test_llava.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test
2025-06-05T23:29:50.3477229Z   copying src/executorch/examples/models/llava/test/test_pte.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test
2025-06-05T23:29:50.3478141Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/moshi/mimi
2025-06-05T23:29:50.3479044Z   copying src/executorch/examples/models/moshi/mimi/test_mimi.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/moshi/mimi
2025-06-05T23:29:50.3479917Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-06-05T23:29:50.3480638Z   copying src/executorch/exir/_serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-06-05T23:29:50.3481531Z   copying src/executorch/exir/_serialize/_cord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-06-05T23:29:50.3482433Z   copying src/executorch/exir/_serialize/_dataclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-06-05T23:29:50.3483577Z   copying src/executorch/exir/_serialize/_flatbuffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-06-05T23:29:50.3484593Z   copying src/executorch/exir/_serialize/_named_data_store.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-06-05T23:29:50.3485590Z   copying src/executorch/exir/_serialize/_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-06-05T23:29:50.3486554Z   copying src/executorch/exir/_serialize/_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-06-05T23:29:50.3487589Z   copying src/executorch/exir/_serialize/data_serializer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-06-05T23:29:50.3488521Z   copying src/executorch/exir/_serialize/padding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-06-05T23:29:50.3489247Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-06-05T23:29:50.3490111Z   copying src/executorch/exir/backend/backend_api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-06-05T23:29:50.3491055Z   copying src/executorch/exir/backend/backend_details.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-06-05T23:29:50.3492039Z   copying src/executorch/exir/backend/compile_spec_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-06-05T23:29:50.3493194Z   copying src/executorch/exir/backend/operator_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-06-05T23:29:50.3494285Z   copying src/executorch/exir/backend/partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-06-05T23:29:50.3495251Z   copying src/executorch/exir/backend/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-06-05T23:29:50.3495948Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-06-05T23:29:50.3496711Z   copying src/executorch/exir/capture/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-06-05T23:29:50.3497649Z   copying src/executorch/exir/capture/_capture.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-06-05T23:29:50.3498533Z   copying src/executorch/exir/capture/_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-06-05T23:29:50.3499732Z   copying src/executorch/exir/capture/_unlift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-06-05T23:29:50.3500442Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects
2025-06-05T23:29:50.3501226Z   copying src/executorch/exir/dialects/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects
2025-06-05T23:29:50.3502092Z   copying src/executorch/exir/dialects/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects
2025-06-05T23:29:50.3502834Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit
2025-06-05T23:29:50.3503557Z   copying src/executorch/exir/emit/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit
2025-06-05T23:29:50.3504385Z   copying src/executorch/exir/emit/_emit_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit
2025-06-05T23:29:50.3505296Z   copying src/executorch/exir/emit/_emitter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit
2025-06-05T23:29:50.3506100Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-06-05T23:29:50.3506844Z   copying src/executorch/exir/operator/convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-06-05T23:29:50.3507794Z   copying src/executorch/exir/operator/manip.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-06-05T23:29:50.3508729Z   copying src/executorch/exir/operator/util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-06-05T23:29:50.3509488Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3510174Z   copying src/executorch/exir/passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3511203Z   copying src/executorch/exir/passes/_quant_patterns_and_replacements.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3512418Z   copying src/executorch/exir/passes/const_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3513409Z   copying src/executorch/exir/passes/constant_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3514434Z   copying src/executorch/exir/passes/debug_handle_generator_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3515490Z   copying src/executorch/exir/passes/dim_order_ops_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3516554Z   copying src/executorch/exir/passes/dynamic_shape_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3517648Z   copying src/executorch/exir/passes/executorch_prim_ops_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3518891Z   copying src/executorch/exir/passes/external_constants_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3987277Z   copying src/executorch/exir/passes/init_mutable_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3988559Z   copying src/executorch/exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3989607Z   copying src/executorch/exir/passes/memory_format_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3990608Z   copying src/executorch/exir/passes/memory_planning_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3991626Z   copying src/executorch/exir/passes/normalize_transpose_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3992677Z   copying src/executorch/exir/passes/normalize_view_copy_base_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3993674Z   copying src/executorch/exir/passes/pass_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3994692Z   copying src/executorch/exir/passes/prune_empty_tensors_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3995678Z   copying src/executorch/exir/passes/quant_fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3996867Z   copying src/executorch/exir/passes/quantize_io_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3997845Z   copying src/executorch/exir/passes/remove_graph_asserts_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.3998891Z   copying src/executorch/exir/passes/remove_mixed_type_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.4000136Z   copying src/executorch/exir/passes/remove_noop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.4001240Z   copying src/executorch/exir/passes/remove_unused_parameters_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.4002366Z   copying src/executorch/exir/passes/replace_aten_with_edge_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.4003628Z   copying src/executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.4004735Z   copying src/executorch/exir/passes/replace_edge_with_backend_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.4005768Z   copying src/executorch/exir/passes/replace_sym_size_op_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.4006894Z   copying src/executorch/exir/passes/replace_view_copy_with_view_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.4007928Z   copying src/executorch/exir/passes/scalar_to_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.4008878Z   copying src/executorch/exir/passes/spec_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.4009925Z   copying src/executorch/exir/passes/sym_shape_eval_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.4011033Z   copying src/executorch/exir/passes/sym_to_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.4011996Z   copying src/executorch/exir/passes/weights_to_outputs_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-06-05T23:29:50.4012975Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-06-05T23:29:50.4013718Z   copying src/executorch/exir/program/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-06-05T23:29:50.4014724Z   copying src/executorch/exir/program/_fake_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-06-05T23:29:50.4015640Z   copying src/executorch/exir/program/_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-06-05T23:29:50.4016384Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-06-05T23:29:50.4017063Z   copying src/executorch/exir/serde/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-06-05T23:29:50.4017933Z   copying src/executorch/exir/serde/export_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-06-05T23:29:50.4018834Z   copying src/executorch/exir/serde/schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-06-05T23:29:50.4019701Z   copying src/executorch/exir/serde/schema_check.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-06-05T23:29:50.4020578Z   copying src/executorch/exir/serde/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-06-05T23:29:50.4021514Z   copying src/executorch/exir/serde/union.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-06-05T23:29:50.4022366Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4023067Z   copying src/executorch/exir/tests/asr_joiner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4023998Z   copying src/executorch/exir/tests/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4024986Z   copying src/executorch/exir/tests/control_flow_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4026035Z   copying src/executorch/exir/tests/dynamic_shape_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4026936Z   copying src/executorch/exir/tests/models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4027835Z   copying src/executorch/exir/tests/test_arg_validator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4028961Z   copying src/executorch/exir/tests/test_capture.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4029841Z   copying src/executorch/exir/tests/test_common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4030735Z   copying src/executorch/exir/tests/test_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4031762Z   copying src/executorch/exir/tests/test_dim_order_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4032884Z   copying src/executorch/exir/tests/test_dynamic_shape_propagation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4034016Z   copying src/executorch/exir/tests/test_error.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4034944Z   copying src/executorch/exir/tests/test_joint_graph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4036021Z   copying src/executorch/exir/tests/test_memory_format_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4037055Z   copying src/executorch/exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4038092Z   copying src/executorch/exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4039106Z   copying src/executorch/exir/tests/test_memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4040079Z   copying src/executorch/exir/tests/test_op_convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4041200Z   copying src/executorch/exir/tests/test_pass_infra.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4042095Z   copying src/executorch/exir/tests/test_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4043003Z   copying src/executorch/exir/tests/test_print_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4044286Z   copying src/executorch/exir/tests/test_prune_empty_tensors_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4045481Z   copying src/executorch/exir/tests/test_quant_fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4046601Z   copying src/executorch/exir/tests/test_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4047739Z   copying src/executorch/exir/tests/test_quantize_io_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4048744Z   copying src/executorch/exir/tests/test_remove_unused_parameters_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4049943Z   copying src/executorch/exir/tests/test_remove_view_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4050884Z   copying src/executorch/exir/tests/test_serde.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4051740Z   copying src/executorch/exir/tests/test_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4052706Z   copying src/executorch/exir/tests/test_tracer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4053692Z   copying src/executorch/exir/tests/test_verification.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4054621Z   copying src/executorch/exir/tests/test_warnings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4437676Z   copying src/executorch/exir/tests/transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-06-05T23:29:50.4438618Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-06-05T23:29:50.4439487Z   copying src/executorch/exir/verification/arg_validator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-06-05T23:29:50.4440516Z   copying src/executorch/exir/verification/dev_html.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-06-05T23:29:50.4441530Z   copying src/executorch/exir/verification/interpreter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-06-05T23:29:50.4442568Z   copying src/executorch/exir/verification/verifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-06-05T23:29:50.4443372Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-06-05T23:29:50.4444324Z   copying src/executorch/exir/_serialize/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-06-05T23:29:50.4445329Z   copying src/executorch/exir/_serialize/test/test_cord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-06-05T23:29:50.4446360Z   copying src/executorch/exir/_serialize/test/test_flatbuffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-06-05T23:29:50.4447560Z   copying src/executorch/exir/_serialize/test/test_named_data_store.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-06-05T23:29:50.4448618Z   copying src/executorch/exir/_serialize/test/test_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-06-05T23:29:50.4449506Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-06-05T23:29:50.4450660Z   copying src/executorch/exir/backend/canonical_partitioners/all_node_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-06-05T23:29:50.4452061Z   copying src/executorch/exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-06-05T23:29:50.4453650Z   copying src/executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-06-05T23:29:50.4455131Z   copying src/executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-06-05T23:29:50.4456579Z   copying src/executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-06-05T23:29:50.4457666Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4458541Z   copying src/executorch/exir/backend/test/backend_with_compiler_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4459770Z   copying src/executorch/exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4460954Z   copying src/executorch/exir/backend/test/backend_with_named_data_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4462262Z   copying src/executorch/exir/backend/test/backend_with_preprocess_all_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4463595Z   copying src/executorch/exir/backend/test/hta_partitioner_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4464694Z   copying src/executorch/exir/backend/test/op_partitioner_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4465747Z   copying src/executorch/exir/backend/test/qnn_backend_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4466863Z   copying src/executorch/exir/backend/test/test_backend_with_named_data_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4468048Z   copying src/executorch/exir/backend/test/test_backends.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4469108Z   copying src/executorch/exir/backend/test/test_backends_lifted.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4470200Z   copying src/executorch/exir/backend/test/test_backends_nested.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4471405Z   copying src/executorch/exir/backend/test/test_compatibility.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4472553Z   copying src/executorch/exir/backend/test/test_debug_handle_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4473663Z   copying src/executorch/exir/backend/test/test_delegate_map_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4474765Z   copying src/executorch/exir/backend/test/test_graph_partition.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4475951Z   copying src/executorch/exir/backend/test/test_lowered_backend_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4477057Z   copying src/executorch/exir/backend/test/test_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4478089Z   copying src/executorch/exir/backend/test/test_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4479225Z   copying src/executorch/exir/backend/test/test_to_backend_multi_method.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4480443Z   copying src/executorch/exir/backend/test/test_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-06-05T23:29:50.4481302Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos
2025-06-05T23:29:50.4482367Z   copying src/executorch/exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos
2025-06-05T23:29:50.4483578Z   copying src/executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos
2025-06-05T23:29:50.4484511Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-06-05T23:29:50.4485521Z   copying src/executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-06-05T23:29:50.4486900Z   copying src/executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-06-05T23:29:50.4488371Z   copying src/executorch/exir/backend/test/demos/rpc/test_rpc.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-06-05T23:29:50.4489260Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend
2025-06-05T23:29:50.4490075Z   copying src/executorch/exir/dialects/backend/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend
2025-06-05T23:29:50.4490871Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge
2025-06-05T23:29:50.4491711Z   copying src/executorch/exir/dialects/edge/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge
2025-06-05T23:29:50.4492566Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test
2025-06-05T23:29:50.4493460Z   copying src/executorch/exir/dialects/test/test_exir_dialect_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test
2025-06-05T23:29:50.4494338Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test
2025-06-05T23:29:50.4495280Z   copying src/executorch/exir/dialects/backend/test/test_backend_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test
2025-06-05T23:29:50.4496197Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg
2025-06-05T23:29:50.4497040Z   copying src/executorch/exir/dialects/edge/arg/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg
2025-06-05T23:29:50.4498168Z   copying src/executorch/exir/dialects/edge/arg/type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg
2025-06-05T23:29:50.4499012Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-06-05T23:29:50.4499936Z   copying src/executorch/exir/dialects/edge/dtype/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-06-05T23:29:50.4501111Z   copying src/executorch/exir/dialects/edge/dtype/supported.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-06-05T23:29:50.4502360Z   copying src/executorch/exir/dialects/edge/dtype/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-06-05T23:29:50.4503355Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op
2025-06-05T23:29:50.4504170Z   copying src/executorch/exir/dialects/edge/op/api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op
2025-06-05T23:29:50.4889380Z   copying src/executorch/exir/dialects/edge/op/sample_input.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op
2025-06-05T23:29:50.4890716Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec
2025-06-05T23:29:50.4891628Z   copying src/executorch/exir/dialects/edge/spec/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec
2025-06-05T23:29:50.4892722Z   copying src/executorch/exir/dialects/edge/spec/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec
2025-06-05T23:29:50.4893726Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test
2025-06-05T23:29:50.4894717Z   copying src/executorch/exir/dialects/edge/test/test_edge_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test
2025-06-05T23:29:50.4896149Z   copying src/executorch/exir/dialects/edge/test/test_edge_yaml.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test
2025-06-05T23:29:50.4897096Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test
2025-06-05T23:29:50.4898126Z   copying src/executorch/exir/dialects/edge/op/test/test_api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test
2025-06-05T23:29:50.4899029Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test
2025-06-05T23:29:50.4899784Z   copying src/executorch/exir/emit/test/test_emit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test
2025-06-05T23:29:50.4900721Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test
2025-06-05T23:29:50.4901668Z   copying src/executorch/exir/operator/test/test_operator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test
2025-06-05T23:29:50.4902492Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-06-05T23:29:50.4903323Z   copying src/executorch/exir/program/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-06-05T23:29:50.4904349Z   copying src/executorch/exir/program/test/test_fake_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-06-05T23:29:50.4905515Z   copying src/executorch/exir/program/test/test_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-06-05T23:29:50.4906326Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test
2025-06-05T23:29:50.4907211Z   copying src/executorch/exir/verification/test/test_verifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test
2025-06-05T23:29:50.4908074Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util
2025-06-05T23:29:50.4909094Z   copying src/executorch/extension/export_util/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util
2025-06-05T23:29:50.4910189Z   copying src/executorch/extension/export_util/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util
2025-06-05T23:29:50.4910991Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor
2025-06-05T23:29:50.4911918Z   copying src/executorch/extension/flat_tensor/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor
2025-06-05T23:29:50.4912920Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-06-05T23:29:50.4913897Z   copying src/executorch/extension/gguf_util/convert_main.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-06-05T23:29:50.4915032Z   copying src/executorch/extension/gguf_util/converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-06-05T23:29:50.4916141Z   copying src/executorch/extension/gguf_util/load_gguf.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-06-05T23:29:50.4917037Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings
2025-06-05T23:29:50.4918024Z   copying src/executorch/extension/pybindings/portable_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings
2025-06-05T23:29:50.4918918Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree
2025-06-05T23:29:50.4919685Z   copying src/executorch/extension/pytree/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree
2025-06-05T23:29:50.4920541Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training
2025-06-05T23:29:50.4921436Z   copying src/executorch/extension/training/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training
2025-06-05T23:29:50.4922301Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-06-05T23:29:50.4923301Z   copying src/executorch/extension/flat_tensor/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-06-05T23:29:50.4924850Z   copying src/executorch/extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-06-05T23:29:50.4926300Z   copying src/executorch/extension/flat_tensor/serialize/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-06-05T23:29:50.4927300Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/test
2025-06-05T23:29:50.4928348Z   copying src/executorch/extension/flat_tensor/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/test
2025-06-05T23:29:50.4929482Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converters
2025-06-05T23:29:50.4930460Z   copying src/executorch/extension/gguf_util/converters/llama_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converters
2025-06-05T23:29:50.4931474Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-06-05T23:29:50.4932486Z   copying src/executorch/extension/llm/custom_ops/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-06-05T23:29:50.4933668Z   copying src/executorch/extension/llm/custom_ops/custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-06-05T23:29:50.4934839Z   copying src/executorch/extension/llm/custom_ops/model_sharding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-06-05T23:29:50.4936039Z   copying src/executorch/extension/llm/custom_ops/op_tile_crop_aot.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-06-05T23:29:50.4937339Z   copying src/executorch/extension/llm/custom_ops/preprocess_custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-06-05T23:29:50.4938562Z   copying src/executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-06-05T23:29:50.4940001Z   copying src/executorch/extension/llm/custom_ops/test_quantized_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-06-05T23:29:50.4941339Z   copying src/executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-06-05T23:29:50.4942590Z   copying src/executorch/extension/llm/custom_ops/test_update_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-06-05T23:29:50.4943535Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-06-05T23:29:50.4944343Z   copying src/executorch/extension/llm/export/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-06-05T23:29:50.4945385Z   copying src/executorch/extension/llm/export/builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-06-05T23:29:50.4946663Z   copying src/executorch/extension/llm/export/export_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-06-05T23:29:50.4947853Z   copying src/executorch/extension/llm/export/partitioner_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-06-05T23:29:50.4948978Z   copying src/executorch/extension/llm/export/quantizer_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-06-05T23:29:50.4950090Z   copying src/executorch/extension/llm/export/test_export_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-06-05T23:29:50.4951220Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-06-05T23:29:50.4952213Z   copying src/executorch/extension/llm/modules/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-06-05T23:29:50.4953323Z   copying src/executorch/extension/llm/modules/_position_embeddings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-06-05T23:29:50.4954735Z   copying src/executorch/extension/llm/modules/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-06-05T23:29:50.4955922Z   copying src/executorch/extension/llm/modules/kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-06-05T23:29:50.4956978Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers
2025-06-05T23:29:50.4958040Z   copying src/executorch/extension/llm/tokenizers/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers
2025-06-05T23:29:50.4959142Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant
2025-06-05T23:29:50.5257628Z   copying src/executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant
2025-06-05T23:29:50.5258950Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-06-05T23:29:50.5260237Z   copying src/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-06-05T23:29:50.5261841Z   copying src/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-06-05T23:29:50.5263230Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/test
2025-06-05T23:29:50.5264183Z   copying src/executorch/extension/llm/export/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/test
2025-06-05T23:29:50.5265410Z   copying src/executorch/extension/llm/export/test/test_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/test
2025-06-05T23:29:50.5266315Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-06-05T23:29:50.5267219Z   copying src/executorch/extension/llm/modules/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-06-05T23:29:50.5268581Z   copying src/executorch/extension/llm/modules/test/test_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-06-05T23:29:50.5270093Z   copying src/executorch/extension/llm/modules/test/test_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-06-05T23:29:50.5271356Z   copying src/executorch/extension/llm/modules/test/test_position_embeddings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-06-05T23:29:50.5272493Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-06-05T23:29:50.5273632Z   copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-06-05T23:29:50.5275315Z   copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-06-05T23:29:50.5277045Z   copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-06-05T23:29:50.5278629Z   copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-06-05T23:29:50.5280206Z   copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-06-05T23:29:50.5281281Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/test
2025-06-05T23:29:50.5282267Z   copying src/executorch/extension/llm/tokenizers/test/test_tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/test
2025-06-05T23:29:50.5283359Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools
2025-06-05T23:29:50.5284587Z   copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools
2025-06-05T23:29:50.5285911Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-06-05T23:29:50.5287273Z   copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-06-05T23:29:50.5289027Z   copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-06-05T23:29:50.5290347Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp
2025-06-05T23:29:50.5291572Z   copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/conanfile.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp
2025-06-05T23:29:50.5293241Z   copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/create_lts.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp
2025-06-05T23:29:50.5294504Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl
2025-06-05T23:29:50.5296027Z   copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl
2025-06-05T23:29:50.5297792Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts
2025-06-05T23:29:50.5299309Z   copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/copts.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts
2025-06-05T23:29:50.5301125Z   copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/generate_copts.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts
2025-06-05T23:29:50.5302558Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts
2025-06-05T23:29:50.5304111Z   copying src/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts/check_structure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts
2025-06-05T23:29:50.5305584Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl
2025-06-05T23:29:50.5307136Z   copying src/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl/filterbr.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl
2025-06-05T23:29:50.5308608Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate
2025-06-05T23:29:50.5310396Z   copying src/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate/amalgamate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate
2025-06-05T23:29:50.5312135Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer
2025-06-05T23:29:50.5313639Z   copying src/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer
2025-06-05T23:29:50.5315168Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis
2025-06-05T23:29:50.5316777Z   copying src/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis/generate_natvis.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis
2025-06-05T23:29:50.5318310Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header
2025-06-05T23:29:50.5319861Z   copying src/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header/serve_header.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header
2025-06-05T23:29:50.5321410Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint
2025-06-05T23:29:50.5322696Z   copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateCommon.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint
2025-06-05T23:29:50.5324457Z   copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateTest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint
2025-06-05T23:29:50.5326125Z   copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint
2025-06-05T23:29:50.5328049Z   copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpHeader.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint
2025-06-05T23:29:50.5554469Z   copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpTables.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint
2025-06-05T23:29:50.5556481Z   copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateCommon.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint
2025-06-05T23:29:50.5558147Z   copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateDates.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint
2025-06-05T23:29:50.5560021Z   copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateRelease.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint
2025-06-05T23:29:50.5561674Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/benchlog
2025-06-05T23:29:50.5562996Z   copying src/executorch/extension/llm/tokenizers/third-party/re2/benchlog/benchplot.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/benchlog
2025-06-05T23:29:50.5564428Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python
2025-06-05T23:29:50.5565711Z   copying src/executorch/extension/llm/tokenizers/third-party/re2/python/re2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python
2025-06-05T23:29:50.5567339Z   copying src/executorch/extension/llm/tokenizers/third-party/re2/python/re2_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python
2025-06-05T23:29:50.5569061Z   copying src/executorch/extension/llm/tokenizers/third-party/re2/python/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python
2025-06-05T23:29:50.5570634Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2
2025-06-05T23:29:50.5571949Z   copying src/executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_casefold.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2
2025-06-05T23:29:50.5573730Z   copying src/executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_groups.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2
2025-06-05T23:29:50.5575379Z   copying src/executorch/extension/llm/tokenizers/third-party/re2/re2/unicode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2
2025-06-05T23:29:50.5576621Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains
2025-06-05T23:29:50.5578285Z   copying src/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains
2025-06-05T23:29:50.5580031Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python
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2025-06-05T23:29:50.5582918Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test
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2025-06-05T23:29:50.5586300Z   copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/sentencepiece_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test
2025-06-05T23:29:50.5588196Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece
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2025-06-05T23:29:50.5594730Z   copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_model_pb2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece
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2025-06-05T23:29:50.5598977Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers
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2025-06-05T23:29:50.5602113Z   copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers
2025-06-05T23:29:50.5603853Z   copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/hf_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers
2025-06-05T23:29:50.5605648Z   copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/llama2c.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers
2025-06-05T23:29:50.5607858Z   copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers
2025-06-05T23:29:50.5609316Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools
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2025-06-05T23:29:50.5612198Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c
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2025-06-05T23:29:51.8218033Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized
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2025-06-05T23:29:51.8235649Z   copying src/executorch/backends/apple/mps/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-06-05T23:29:51.8236740Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema
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2025-06-05T23:29:51.8242448Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart
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2025-06-05T23:29:51.8255966Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/monster.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples
2025-06-05T23:29:51.8258118Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check-grpc-generated-code.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts
2025-06-05T23:29:51.8260621Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap
2025-06-05T23:29:51.8262426Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap/snapcraft.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap
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2025-06-05T23:29:51.8266944Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/alignment_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
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2025-06-05T23:29:51.8274128Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/included_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8277143Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/includer_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8279288Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/keyword_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8281375Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_extra.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8284514Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8286581Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/more_defaults.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8288688Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nan_inf_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8292056Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_inline_table_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8436972Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_type_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8439150Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_union_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8441243Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8443448Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/private_annotation_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8445574Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/required_strings.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8447823Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/rust_namer_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8449927Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8451979Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/type_field_collsion.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8454188Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_underlying_type_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8456399Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_value_collision.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8458563Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/vector_has_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:51.8460344Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs
2025-06-05T23:29:51.8462175Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs/animal.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs
2025-06-05T23:29:51.8464026Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers
2025-06-05T23:29:51.8465976Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers/bench.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers
2025-06-05T23:29:51.8467816Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test
2025-06-05T23:29:51.8469437Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/bool_structs.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test
2025-06-05T23:29:51.8471584Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/list_of_enums.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test
2025-06-05T23:29:51.8473771Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/monster_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test
2025-06-05T23:29:51.8475481Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo
2025-06-05T23:29:51.8477180Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/hero.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo
2025-06-05T23:29:51.8479391Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/net.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo
2025-06-05T23:29:51.8481051Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema
2025-06-05T23:29:51.8482942Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema/basic.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema
2025-06-05T23:29:51.8485296Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/greeter.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples
2025-06-05T23:29:51.8487041Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter
2025-06-05T23:29:51.8488825Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter/greeter.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter
2025-06-05T23:29:51.8490881Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector
2025-06-05T23:29:51.8493042Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector/union_vector.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector
2025-06-05T23:29:51.8494892Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit
2025-06-05T23:29:51.8496550Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/test_64bit.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit
2025-06-05T23:29:51.8498898Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary
2025-06-05T23:29:51.8501518Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary_old.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary
2025-06-05T23:29:51.8503379Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test
2025-06-05T23:29:51.8505175Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v1.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test
2025-06-05T23:29:51.8507646Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v2.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test
2025-06-05T23:29:51.8657260Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/enum_val_attributes.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc
2025-06-05T23:29:51.8659611Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc
2025-06-05T23:29:51.8661757Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo_with_ns.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc
2025-06-05T23:29:51.8663479Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test
2025-06-05T23:29:51.8665239Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/include_test1.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test
2025-06-05T23:29:51.8667570Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/order.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test
2025-06-05T23:29:51.8669326Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field
2025-06-05T23:29:51.8671355Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field/key_field_sample.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field
2025-06-05T23:29:51.8673392Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums
2025-06-05T23:29:51.8675433Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums/enums.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums
2025-06-05T23:29:51.8677214Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test
2025-06-05T23:29:51.8679095Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test1.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test
2025-06-05T23:29:51.8681448Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test2.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test
2025-06-05T23:29:51.8683951Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test1.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test
2025-06-05T23:29:51.8686271Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test2.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test
2025-06-05T23:29:51.8688610Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test1.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test
2025-06-05T23:29:51.8691306Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test2.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test
2025-06-05T23:29:51.8693303Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test
2025-06-05T23:29:51.8695229Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test1.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test
2025-06-05T23:29:51.8697749Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test2.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test
2025-06-05T23:29:51.8700478Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test3.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test
2025-06-05T23:29:51.8702345Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest
2025-06-05T23:29:51.8704120Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest
2025-06-05T23:29:51.8706377Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_id.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest
2025-06-05T23:29:51.8708859Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest
2025-06-05T23:29:51.8711277Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include_id.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest
2025-06-05T23:29:51.8713596Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest
2025-06-05T23:29:51.8716067Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix_id.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest
2025-06-05T23:29:51.8718572Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest
2025-06-05T23:29:51.8720893Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_id.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest
2025-06-05T23:29:51.8723229Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest
2025-06-05T23:29:51.8725787Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include_id.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest
2025-06-05T23:29:51.8728160Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest
2025-06-05T23:29:51.8875536Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix_id.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest
2025-06-05T23:29:51.8877894Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/typescript_keywords.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts
2025-06-05T23:29:51.8879759Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector
2025-06-05T23:29:51.8881719Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector/union_vector.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector
2025-06-05T23:29:51.8883577Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution
2025-06-05T23:29:51.8885369Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v1.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution
2025-06-05T23:29:51.8887665Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v2.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution
2025-06-05T23:29:51.8889707Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar
2025-06-05T23:29:51.8891578Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar
2025-06-05T23:29:51.8893883Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_foo.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar
2025-06-05T23:29:51.8896127Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_ns.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar
2025-06-05T23:29:51.8897904Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz
2025-06-05T23:29:51.8899784Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz
2025-06-05T23:29:51.8902066Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz_with_ns.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz
2025-06-05T23:29:51.8903905Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub
2025-06-05T23:29:51.8905791Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/include_test2.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub
2025-06-05T23:29:51.8908432Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/no_namespace.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub
2025-06-05T23:29:51.8910294Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests
2025-06-05T23:29:51.8912402Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_import.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests
2025-06-05T23:29:51.8915208Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_no_include.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests
2025-06-05T23:29:51.8917433Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers
2025-06-05T23:29:51.8919567Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers/fuzzer.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers
2025-06-05T23:29:51.8921616Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex
2025-06-05T23:29:51.8923850Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex/arrays_test_complex.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex
2025-06-05T23:29:51.8925784Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir
2025-06-05T23:29:51.8927719Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/one.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir
2025-06-05T23:29:51.8930437Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/pnpm-lock.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir
2025-06-05T23:29:51.8933171Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/two.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir
2025-06-05T23:29:51.8935037Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir
2025-06-05T23:29:51.8936912Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_include.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir
2025-06-05T23:29:51.8939284Z   copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_transitive_include.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir
2025-06-05T23:29:51.8941011Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa/schemas
2025-06-05T23:29:51.8941916Z   copying src/executorch/backends/arm/tosa/schemas/tosa_0.80.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa/schemas
2025-06-05T23:29:51.8943053Z   copying src/executorch/backends/arm/tosa/schemas/tosa_1.0.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa/schemas
2025-06-05T23:29:51.8944239Z   copying src/executorch/backends/cadence/aot/functions.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:51.8945376Z   copying src/executorch/backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:51.8946512Z   copying src/executorch/backends/cadence/aot/functions_hifi.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-06-05T23:29:51.9257889Z   copying src/executorch/backends/cortex_m/ops/operators.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/ops
2025-06-05T23:29:51.9259136Z   copying src/executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-06-05T23:29:51.9260125Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir
2025-06-05T23:29:51.9261020Z   copying src/executorch/backends/qualcomm/aot/ir/qcir.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir
2025-06-05T23:29:51.9262182Z   copying src/executorch/backends/vulkan/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-06-05T23:29:51.9263324Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9264464Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9266014Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9267549Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9269025Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9270471Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9271937Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9273385Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9274942Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9276577Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9278064Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9279532Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9281118Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9282660Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9284202Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9285690Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9287315Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9288947Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9290688Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9292320Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9294014Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw_s1p0.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9295669Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9297410Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9299153Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9300762Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9302393Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9304029Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9305580Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9307113Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9308704Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9310287Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9311904Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9313547Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9315165Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9324338Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9325998Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_coop.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9327730Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_tiled.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9329462Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_coop.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9331044Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_tiled.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9332531Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9334090Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9335836Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9337392Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9597706Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9599224Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9600994Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/pack_int4_linear_weight_transposed_interleaved.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9602804Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9604297Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9605763Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9607410Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9608972Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9610503Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9612075Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9613689Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9615332Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9617054Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9618600Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/tan.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9620182Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9621709Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_texture.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9623189Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9624852Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9626451Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/var_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9627962Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/var_texture3d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9629616Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9631045Z   copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/where.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:51.9632272Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl
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2025-06-05T23:29:51.9634539Z   copying src/executorch/backends/vulkan/test/glsl/dynamic_dispatch_test.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl
2025-06-05T23:29:51.9635882Z   copying src/executorch/backends/vulkan/test/glsl/reference_matmul_common.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl
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2025-06-05T23:29:51.9639463Z   copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-06-05T23:29:51.9641067Z   copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-06-05T23:29:51.9642501Z   copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-06-05T23:29:51.9644067Z   copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-06-05T23:29:51.9645490Z   copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-06-05T23:29:51.9646903Z   copying src/executorch/backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-06-05T23:29:51.9648394Z   copying src/executorch/backends/xnnpack/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-06-05T23:29:51.9649836Z   copying src/executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party
2025-06-05T23:29:51.9651279Z   copying src/executorch/backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-06-05T23:29:51.9652592Z   copying src/executorch/backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-06-05T23:29:51.9654040Z   copying src/executorch/backends/xnnpack/third-party/cpuinfo/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-06-05T23:29:51.9655632Z   copying src/executorch/backends/xnnpack/third-party/pthreadpool/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
2025-06-05T23:29:51.9657341Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-06-05T23:29:51.9659107Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-06-05T23:29:51.9660307Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:51.9661487Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:51.9663109Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:51.9664769Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:51.9666451Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:51.9668052Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:51.9669693Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-06-05T23:29:51.9998092Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:51.9999864Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0001601Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0003277Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0004888Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0006648Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0008234Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0009829Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0011321Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0012811Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0014755Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0016390Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0018009Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0019547Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0021096Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0022645Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0024313Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0025833Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0027408Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0029148Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0030953Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0032535Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0034123Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0035741Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0037240Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0038793Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0040356Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0042044Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0043612Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0045191Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0046737Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0048371Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0050081Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0051725Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0053334Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0054804Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0056299Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0057789Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0059475Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0061055Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0062674Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0064252Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0066082Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0067763Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0286708Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0288853Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-06-05T23:29:52.0296535Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-06-05T23:29:52.0301825Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0303552Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0305318Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0307034Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0308785Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0310629Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0312444Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0314197Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0315768Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0317626Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0319268Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0320786Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0322350Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0323880Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0325506Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.0327063Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0328937Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0330594Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0332286Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0334219Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0335925Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0337552Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0339173Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0340874Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0342577Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0344159Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0345800Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0347485Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0349333Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0351084Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0352708Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0354379Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0355967Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0357573Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.0359235Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.1390332Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.1392294Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.1394120Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-06-05T23:29:52.1395742Z   copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
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2025-06-05T23:29:52.1414937Z   copying src/executorch/examples/llm_pte_finetuning/qwen_05b_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
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2025-06-05T23:29:52.1425739Z   copying src/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer
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2025-06-05T23:29:52.1523433Z   copying runtime/core/portable_type/complex.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.1524801Z   copying runtime/core/portable_type/device.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.1526129Z   copying runtime/core/portable_type/half.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.1527683Z   copying runtime/core/portable_type/optional.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.1529502Z   copying runtime/core/portable_type/qint_types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.1530886Z   copying runtime/core/portable_type/scalar.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.1532365Z   copying runtime/core/portable_type/scalar_type.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.1533742Z   copying runtime/core/portable_type/string_view.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.1535110Z   copying runtime/core/portable_type/tensor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.1536283Z   copying runtime/core/portable_type/tensor_impl.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.1537487Z   copying runtime/core/portable_type/tensor_options.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.1538675Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-06-05T23:29:52.1539923Z   copying runtime/core/portable_type/c10/c10/macros/Export.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-06-05T23:29:52.1541768Z   copying runtime/core/portable_type/c10/c10/macros/Macros.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-06-05T23:29:52.1543372Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.1544992Z   copying runtime/core/portable_type/c10/c10/util/BFloat16-inl.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.1546856Z   copying runtime/core/portable_type/c10/c10/util/BFloat16-math.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.1548504Z   copying runtime/core/portable_type/c10/c10/util/BFloat16.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.1549995Z   copying runtime/core/portable_type/c10/c10/util/Half-inl.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.1551842Z   copying runtime/core/portable_type/c10/c10/util/Half.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.1553351Z   copying runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.1554871Z   copying runtime/core/portable_type/c10/c10/util/bit_cast.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.1556256Z   copying runtime/core/portable_type/c10/c10/util/complex.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.1557681Z   copying runtime/core/portable_type/c10/c10/util/complex_math.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.1559135Z   copying runtime/core/portable_type/c10/c10/util/complex_utils.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.1560634Z   copying runtime/core/portable_type/c10/c10/util/floating_point_utils.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.1562089Z   copying runtime/core/portable_type/c10/c10/util/irange.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.1563140Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-06-05T23:29:52.1563985Z   copying runtime/kernel/kernel_includes.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-06-05T23:29:52.1565024Z   copying runtime/kernel/kernel_runtime_context.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-06-05T23:29:52.1566051Z   copying runtime/kernel/operator_registry.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-06-05T23:29:52.1567103Z   copying runtime/kernel/thread_parallel_interface.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-06-05T23:29:52.1568025Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test
2025-06-05T23:29:52.1568903Z   copying runtime/kernel/test/test_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test
2025-06-05T23:29:52.1569784Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.1570614Z   copying runtime/platform/abort.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.1571576Z   copying runtime/platform/assert.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.1572565Z   copying runtime/platform/clock.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.1573620Z   copying runtime/platform/compat_unistd.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.1574624Z   copying runtime/platform/compiler.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.1575568Z   copying runtime/platform/log.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.1576724Z   copying runtime/platform/platform.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.1577882Z   copying runtime/platform/profiler.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.1579102Z   copying runtime/platform/runtime.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.1580200Z   copying runtime/platform/system.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.1581223Z   copying runtime/platform/types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.1582192Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test
2025-06-05T23:29:52.2343459Z   copying runtime/platform/test/pal_spy.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test
2025-06-05T23:29:52.2344744Z   copying runtime/platform/test/stub_platform.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test
2025-06-05T23:29:52.2345843Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-06-05T23:29:52.2347023Z   copying extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-06-05T23:29:52.2348378Z   copying extension/kernel_util/meta_programming.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-06-05T23:29:52.2349810Z   copying extension/kernel_util/type_list.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-06-05T23:29:52.2350931Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-06-05T23:29:52.2351840Z   copying extension/tensor/tensor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-06-05T23:29:52.2352982Z   copying extension/tensor/tensor_accessor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-06-05T23:29:52.2354306Z   copying extension/tensor/tensor_ptr.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-06-05T23:29:52.2355503Z   copying extension/tensor/tensor_ptr_maker.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-06-05T23:29:52.2356468Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-06-05T23:29:52.2357508Z   copying extension/threadpool/cpuinfo_utils.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-06-05T23:29:52.2358801Z   copying extension/threadpool/threadpool.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-06-05T23:29:52.2360053Z   copying extension/threadpool/threadpool_guard.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-06-05T23:29:52.2361090Z   running build_ext
2025-06-05T23:29:52.2361517Z   creating /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin
2025-06-05T23:29:52.2363213Z   copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/bin/flatc -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin
2025-06-05T23:29:52.2364841Z   copying tools/wheel/pip_data_bin_init.py.in -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/__init__.py
2025-06-05T23:29:52.2366338Z   copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/_portable_lib.cpython-310-x86_64-linux-gnu.so -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings
2025-06-05T23:29:52.2368249Z   copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/backends/apple/coreml/executorchcoreml.cpython-310-x86_64-linux-gnu.so -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml
2025-06-05T23:29:52.2370453Z   copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/extension/llm/custom_ops/libcustom_ops_aot_lib.so -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-06-05T23:29:52.2372569Z   copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/libquantized_ops_aot_lib.so -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized
2025-06-05T23:29:52.2373930Z   installing to pip-out/bdist.linux-x86_64/wheel
2025-06-05T23:29:52.2374369Z   running install
2025-06-05T23:29:52.2374598Z   running install_lib
2025-06-05T23:29:52.2374853Z   creating pip-out/bdist.linux-x86_64/wheel
2025-06-05T23:29:52.2375270Z   creating pip-out/bdist.linux-x86_64/wheel/executorch
2025-06-05T23:29:52.2375897Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen
2025-06-05T23:29:52.2376716Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen
2025-06-05T23:29:52.2377880Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen
2025-06-05T23:29:52.2379123Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen
2025-06-05T23:29:52.2380424Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/parse.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen
2025-06-05T23:29:52.2381259Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen/api
2025-06-05T23:29:52.2382316Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/api
2025-06-05T23:29:52.2383852Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/custom_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/api
2025-06-05T23:29:52.2385279Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/et_cpp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/api
2025-06-05T23:29:52.2386708Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/unboxing.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/api
2025-06-05T23:29:52.2387619Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen/api/types
2025-06-05T23:29:52.2388807Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/types/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/api/types
2025-06-05T23:29:52.2390266Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/types/signatures.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/api/types
2025-06-05T23:29:52.2391762Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/types/types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/api/types
2025-06-05T23:29:52.2392737Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen/test
2025-06-05T23:29:52.2393815Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test/test_executorch_custom_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/test
2025-06-05T23:29:52.2395332Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test/test_executorch_gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/test
2025-06-05T23:29:52.2396845Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test/test_executorch_signatures.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/test
2025-06-05T23:29:52.2398358Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test/test_executorch_types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/test
2025-06-05T23:29:52.2399820Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test/test_executorch_unboxing.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/test
2025-06-05T23:29:52.2401329Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test/test_selective_build.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/test
2025-06-05T23:29:52.2402430Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen/tools
2025-06-05T23:29:52.2403399Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools
2025-06-05T23:29:52.2404830Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/gen_all_oplist.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools
2025-06-05T23:29:52.2406311Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/gen_oplist.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools
2025-06-05T23:29:52.2407631Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/gen_ops_def.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools
2025-06-05T23:29:52.2408956Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/gen_selected_op_variants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools
2025-06-05T23:29:52.2410328Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/merge_yaml.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools
2025-06-05T23:29:52.2411558Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/yaml_util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools
2025-06-05T23:29:52.2412589Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen/tools/test
2025-06-05T23:29:52.2413721Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test/test_gen_all_oplist.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools/test
2025-06-05T23:29:52.2415238Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test/test_gen_oplist.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools/test
2025-06-05T23:29:52.2416659Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools/test
2025-06-05T23:29:52.2418279Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools/test
2025-06-05T23:29:52.2419322Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools
2025-06-05T23:29:52.2429940Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools
2025-06-05T23:29:52.2430951Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/backend_debug
2025-06-05T23:29:52.2432160Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/backend_debug
2025-06-05T23:29:52.2433865Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/delegation_info.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/backend_debug
2025-06-05T23:29:52.2435011Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/backend_debug/tests
2025-06-05T23:29:52.2436408Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/tests/test_delegation_info.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/backend_debug/tests
2025-06-05T23:29:52.2437591Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program
2025-06-05T23:29:52.2438678Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program
2025-06-05T23:29:52.2440150Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/core.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program
2025-06-05T23:29:52.2441636Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program
2025-06-05T23:29:52.2442818Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/schema
2025-06-05T23:29:52.2443875Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/schema
2025-06-05T23:29:52.2445676Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/schema
2025-06-05T23:29:52.2446988Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/schema/test
2025-06-05T23:29:52.2448221Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test/test_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/schema/test
2025-06-05T23:29:52.2450194Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/schema
2025-06-05T23:29:52.2451970Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/schema
2025-06-05T23:29:52.2453352Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/serialize
2025-06-05T23:29:52.2454528Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/serialize
2025-06-05T23:29:52.2455833Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/serialize/test
2025-06-05T23:29:52.2457242Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/serialize/test
2025-06-05T23:29:52.2459126Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/bundled_program_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/serialize
2025-06-05T23:29:52.2460895Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/serialize
2025-06-05T23:29:52.2462112Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/test
2025-06-05T23:29:52.2463293Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test/test_bundle_data.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/test
2025-06-05T23:29:52.2465384Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test/test_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/test
2025-06-05T23:29:52.2467132Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test/test_end2end.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/test
2025-06-05T23:29:52.2468360Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/util
2025-06-05T23:29:52.2469571Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util/test_util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/util
2025-06-05T23:29:52.2470746Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/debug_format
2025-06-05T23:29:52.2471963Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format/base_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/debug_format
2025-06-05T23:29:52.2473536Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format/et_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/debug_format
2025-06-05T23:29:52.2474824Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/etdump
2025-06-05T23:29:52.2475872Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/schema_flatcc.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etdump
2025-06-05T23:29:52.2477325Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etdump
2025-06-05T23:29:52.2478437Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/etdump/tests
2025-06-05T23:29:52.2479538Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/tests/serialize_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etdump/tests
2025-06-05T23:29:52.2481133Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/etdump_schema_flatcc.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etdump
2025-06-05T23:29:52.2482493Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etdump
2025-06-05T23:29:52.2483514Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/etrecord
2025-06-05T23:29:52.2484545Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etrecord
2025-06-05T23:29:52.2485898Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/_etrecord.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etrecord
2025-06-05T23:29:52.2486912Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/etrecord/tests
2025-06-05T23:29:52.2488098Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/tests/etrecord_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etrecord/tests
2025-06-05T23:29:52.2489201Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/inspector
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2025-06-05T23:29:52.2491688Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/_inspector.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector
2025-06-05T23:29:52.2493242Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/_inspector_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector
2025-06-05T23:29:52.2494879Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/_intermediate_output_capturer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector
2025-06-05T23:29:52.2496633Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/inspector_cli.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector
2025-06-05T23:29:52.2497777Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/inspector/tests
2025-06-05T23:29:52.2499028Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests/event_blocks_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector/tests
2025-06-05T23:29:52.2500628Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests/inspector_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector/tests
2025-06-05T23:29:52.2502214Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests/inspector_test_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector/tests
2025-06-05T23:29:52.2503870Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests/inspector_utils_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector/tests
2025-06-05T23:29:52.2519961Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests/intermediate_output_capturer_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector/tests
2025-06-05T23:29:52.2521384Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/size_analysis_tool
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2025-06-05T23:29:52.2524623Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool/size_analysis_tool_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/size_analysis_tool
2025-06-05T23:29:52.2525848Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/visualization
2025-06-05T23:29:52.2526875Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/visualization
2025-06-05T23:29:52.2528362Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization/visualization_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/visualization
2025-06-05T23:29:52.2530206Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization/visualization_utils_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/visualization
2025-06-05T23:29:52.2531239Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir
2025-06-05T23:29:52.2532099Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2533336Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_warnings.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2534567Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2535746Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/control_flow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2537070Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2538374Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dim_order_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2539615Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dynamic_shape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2540854Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/error.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2542032Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/graph.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2543221Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/graph_module.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2544557Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/lowered_backend_module.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2545874Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/memory.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2547161Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/memory_planning.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2548404Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/pass_base.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2549615Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/pass_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2550865Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/print_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2552020Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/scalar_type.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2553274Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2554260Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/sym_util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2555396Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2556641Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tracer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2557830Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2558948Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2560092Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/wrap.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2561102Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize
2025-06-05T23:29:52.2562018Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-06-05T23:29:52.2563314Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_cord.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-06-05T23:29:52.2564628Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_dataclass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-06-05T23:29:52.2565973Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_flatbuffer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-06-05T23:29:52.2567279Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_named_data_store.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-06-05T23:29:52.2568639Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-06-05T23:29:52.2570116Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-06-05T23:29:52.2571757Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/data_serializer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-06-05T23:29:52.2573401Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/padding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-06-05T23:29:52.2574431Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize/test
2025-06-05T23:29:52.2575418Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test
2025-06-05T23:29:52.2576992Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_cord.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test
2025-06-05T23:29:52.2578491Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_flatbuffer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test
2025-06-05T23:29:52.2580011Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_named_data_store.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test
2025-06-05T23:29:52.2581480Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test
2025-06-05T23:29:52.2582913Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-06-05T23:29:52.2584294Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/program.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-06-05T23:29:52.2585437Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend
2025-06-05T23:29:52.2586415Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/backend_api.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-06-05T23:29:52.2587903Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/backend_details.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-06-05T23:29:52.2589214Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/compile_spec_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-06-05T23:29:52.2590624Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/operator_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-06-05T23:29:52.2592099Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-06-05T23:29:52.2593442Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-06-05T23:29:52.2594592Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/canonical_partitioners
2025-06-05T23:29:52.2605820Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/all_node_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners
2025-06-05T23:29:52.2607719Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners
2025-06-05T23:29:52.2609687Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners
2025-06-05T23:29:52.2611695Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners
2025-06-05T23:29:52.2613720Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners
2025-06-05T23:29:52.2615115Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2025-06-05T23:29:52.2616357Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_compiler_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2618036Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2619801Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_named_data_map.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2621487Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_preprocess_all_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2623122Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/hta_partitioner_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2624706Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/op_partitioner_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2626028Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/qnn_backend_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2627679Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backend_with_named_data_map.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2629459Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backends.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2631177Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backends_lifted.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2632751Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backends_nested.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2634408Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_compatibility.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2635963Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_debug_handle_map.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2637459Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_delegate_map_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2639159Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_graph_partition.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2640627Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_lowered_backend_module.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2642277Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2643766Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2645377Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_to_backend_multi_method.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2646885Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-06-05T23:29:52.2648143Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos
2025-06-05T23:29:52.2649325Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos
2025-06-05T23:29:52.2651146Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos
2025-06-05T23:29:52.2652493Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos/rpc
2025-06-05T23:29:52.2653788Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos/rpc
2025-06-05T23:29:52.2655761Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos/rpc
2025-06-05T23:29:52.2657578Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc/test_rpc.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos/rpc
2025-06-05T23:29:52.2658711Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture
2025-06-05T23:29:52.2659843Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-06-05T23:29:52.2661251Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_capture.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-06-05T23:29:52.2662567Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-06-05T23:29:52.2663879Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_unlift.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-06-05T23:29:52.2664843Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects
2025-06-05T23:29:52.2665927Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects
2025-06-05T23:29:52.2667325Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects
2025-06-05T23:29:52.2668272Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend
2025-06-05T23:29:52.2669366Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/backend
2025-06-05T23:29:52.2670642Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend/test
2025-06-05T23:29:52.2671884Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test/test_backend_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/backend/test
2025-06-05T23:29:52.2673138Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge
2025-06-05T23:29:52.2674082Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge
2025-06-05T23:29:52.2675160Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/arg
2025-06-05T23:29:52.2676262Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/arg
2025-06-05T23:29:52.2677850Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg/type.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/arg
2025-06-05T23:29:52.2678917Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/dtype
2025-06-05T23:29:52.2680119Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype/runner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/dtype
2025-06-05T23:29:52.2681743Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype/supported.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/dtype
2025-06-05T23:29:52.2700011Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/dtype
2025-06-05T23:29:52.2701266Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op
2025-06-05T23:29:52.2702276Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/api.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/op
2025-06-05T23:29:52.2703741Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/sample_input.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/op
2025-06-05T23:29:52.2704887Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op/test
2025-06-05T23:29:52.2706074Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test/test_api.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/op/test
2025-06-05T23:29:52.2707242Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/spec
2025-06-05T23:29:52.2708742Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec/gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/spec
2025-06-05T23:29:52.2710482Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/spec
2025-06-05T23:29:52.2711623Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/test
2025-06-05T23:29:52.2712910Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test/test_edge_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/test
2025-06-05T23:29:52.2714646Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test/test_edge_yaml.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/test
2025-06-05T23:29:52.2716372Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/edge.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge
2025-06-05T23:29:52.2717435Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/test
2025-06-05T23:29:52.2718677Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test/test_exir_dialect_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/test
2025-06-05T23:29:52.2720013Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit
2025-06-05T23:29:52.2720911Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit
2025-06-05T23:29:52.2722226Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/_emit_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit
2025-06-05T23:29:52.2723648Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/_emitter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit
2025-06-05T23:29:52.2724527Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit/test
2025-06-05T23:29:52.2725598Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test/test_emit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit/test
2025-06-05T23:29:52.2726634Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator
2025-06-05T23:29:52.2727539Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/convert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator
2025-06-05T23:29:52.2729233Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/manip.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator
2025-06-05T23:29:52.2730682Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator
2025-06-05T23:29:52.2731715Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator/test
2025-06-05T23:29:52.2732871Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test/test_operator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator/test
2025-06-05T23:29:52.2734100Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2025-06-05T23:29:52.2735124Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2736590Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/_quant_patterns_and_replacements.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2737934Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/const_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2739284Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/constant_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2740750Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/debug_handle_generator_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2742249Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/dim_order_ops_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2743701Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/dynamic_shape_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2745181Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/executorch_prim_ops_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2746663Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/external_constants_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2748053Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/init_mutable_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2749429Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2750892Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/memory_format_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2752368Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/memory_planning_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2753786Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/normalize_transpose_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2755285Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/normalize_view_copy_base_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2756743Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/pass_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2758145Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/prune_empty_tensors_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2759541Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/quant_fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2760940Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/quantize_io_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2762229Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_graph_asserts_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2763561Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_mixed_type_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2764988Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_noop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2766490Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_unused_parameters_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2767988Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_aten_with_edge_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2769430Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2770896Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_edge_with_backend_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2772260Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_sym_size_op_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2773743Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_view_copy_with_view_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2775132Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/scalar_to_tensor_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2791672Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/spec_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2793026Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/sym_shape_eval_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2794408Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/sym_to_tensor_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2795776Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/weights_to_outputs_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-06-05T23:29:52.2796927Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program
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2025-06-05T23:29:52.2799354Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/_fake_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program
2025-06-05T23:29:52.2800772Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program
2025-06-05T23:29:52.2801736Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program/test
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2025-06-05T23:29:52.2804299Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test/test_fake_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program/test
2025-06-05T23:29:52.2805732Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test/test_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program/test
2025-06-05T23:29:52.2806704Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde
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2025-06-05T23:29:52.2808696Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/export_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-06-05T23:29:52.2810076Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-06-05T23:29:52.2811555Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/schema_check.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-06-05T23:29:52.2813056Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-06-05T23:29:52.2814301Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/union.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-06-05T23:29:52.2815238Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
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2025-06-05T23:29:52.2817608Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2818880Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/control_flow_models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2820245Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/dynamic_shape_models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2821640Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2823058Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_arg_validator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2824394Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_capture.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
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2025-06-05T23:29:52.2826799Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2828093Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_dim_order_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2829830Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_dynamic_shape_propagation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2831189Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_error.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2832632Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_joint_graph.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2834067Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2835559Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2837058Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2838525Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_planning.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2839705Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_op_convert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
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2025-06-05T23:29:52.2842386Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2843863Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_print_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2845217Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_prune_empty_tensors_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2846683Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_quant_fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2848086Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_quantization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2849466Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_quantize_io_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2851027Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_remove_unused_parameters_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2852480Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_remove_view_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2853915Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_serde.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2855149Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2856406Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_tracer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2857784Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_verification.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2859120Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_warnings.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-06-05T23:29:52.2860303Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/transformer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
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2025-06-05T23:29:52.2862338Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/arg_validator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification
2025-06-05T23:29:52.2863680Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/dev_html.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification
2025-06-05T23:29:52.2865109Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/interpreter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification
2025-06-05T23:29:52.2882762Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/verifier.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification
2025-06-05T23:29:52.2884115Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification/test
2025-06-05T23:29:52.2885468Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test/test_verifier.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification/test
2025-06-05T23:29:52.2886875Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/delegate.pyi -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-06-05T23:29:52.2887680Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/runtime
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2025-06-05T23:29:52.2889480Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/runtime/test
2025-06-05T23:29:52.2890579Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/test/test_runtime.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/runtime/test
2025-06-05T23:29:52.2891650Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/runtime/kernel
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2025-06-05T23:29:52.2893384Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/kernel/test/functions.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/runtime/kernel/test
2025-06-05T23:29:52.2894323Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/util
2025-06-05T23:29:52.2895281Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/util/activation_memory_profiler.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/util
2025-06-05T23:29:52.2896503Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/util/collect_env.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/util
2025-06-05T23:29:52.2897735Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/util/python_profiler.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/util
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2025-06-05T23:29:52.2900169Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/arm_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-06-05T23:29:52.2901544Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/arm_vela.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-06-05T23:29:52.2902788Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/ethosu_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-06-05T23:29:52.2904157Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/ethosu_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-06-05T23:29:52.2905536Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/process_node.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-06-05T23:29:52.2906940Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-06-05T23:29:52.2908364Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_mapping.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-06-05T23:29:52.2909640Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-06-05T23:29:52.2910986Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_quant_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-06-05T23:29:52.2912373Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_specification.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-06-05T23:29:52.2913785Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-06-05T23:29:52.2915362Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/vgf_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-06-05T23:29:52.2916727Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/vgf_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-06-05T23:29:52.2917664Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/_passes
2025-06-05T23:29:52.2918772Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2920271Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/_debug_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2921898Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2923556Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2925063Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/arm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2926513Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/arm_pass_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2928022Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/arm_pass_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2929729Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/broadcast_args_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2931245Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/cast_int64_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2932835Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/cast_to_int32_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2934391Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2935965Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2937570Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2939339Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2940875Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_int_pow_to_mul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2942351Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_minmax_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2943908Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_split_to_slice.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2945504Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2947075Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_to_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2948663Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_cosine_similarity_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2950254Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_div_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2951782Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_gelu_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2953426Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_groupnorm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2955030Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2958613Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_leaky_relu_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2960624Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_linalg_vector_norm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2962485Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_linear_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2964102Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_meandim_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2965738Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_ne_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2967385Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_select.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2969013Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_silu_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2970720Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_softmax_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2972485Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2974487Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_sqrt_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2976216Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_sum_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2977925Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_var_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2979666Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2981485Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2983135Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2984674Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fuse_equal_placeholders_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2986447Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2988152Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/insert_rescales_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2989962Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/insert_table_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2991646Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2993227Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/match_where_self_arg_dtype_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2994797Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2996315Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/remove_clone_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2997882Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/replace_inf_values_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.2999676Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/replace_scalar_with_tensor_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.3001383Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.3002997Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.3004669Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.3006356Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-06-05T23:29:52.3007580Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operator_support
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2025-06-05T23:29:52.3010467Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/convolution_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-06-05T23:29:52.3012162Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/ethos_u55_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-06-05T23:29:52.3014004Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/minmax_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-06-05T23:29:52.3015655Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/pool_2d_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-06-05T23:29:52.3017307Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/reduce_sum_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-06-05T23:29:52.3019110Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/right_shift_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-06-05T23:29:52.3020913Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/sin_cos_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-06-05T23:29:52.3022852Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/slice_copy_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-06-05T23:29:52.3024611Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/to_copy_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-06-05T23:29:52.3026429Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/tosa_supported_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-06-05T23:29:52.3027655Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
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2025-06-05T23:29:52.3030688Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3032266Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3033916Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3035413Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_amax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3037448Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_amin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3038994Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3040491Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3042172Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3043600Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3045141Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3046606Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_constant_pad_nd.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3048212Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3049726Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_cos.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3051209Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_eq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3052741Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_erf.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3054474Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_exp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3056242Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_ge.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3057801Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_gt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3059320Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_le.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3060849Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3062312Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_lt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3063952Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3065634Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_maximum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3067446Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_minimum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3069120Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_mul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3070622Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_neg.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3072322Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3073844Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_pow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3075648Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_reciprocal.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3077371Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3078966Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_rescale.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3080775Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_rshift_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3082366Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3083973Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3085530Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_sin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3087192Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_slice.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3088747Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3090381Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_sum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3092083Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_table.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3093855Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_tanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3095554Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_to_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3097410Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_to_dim_order_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3099221Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_transpose.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3100944Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_upsample_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3102835Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_upsample_nearest2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3104591Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_view.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3106429Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_where.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3108314Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/operator_validation_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3110052Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/ops_binary.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3111778Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/ops_identity.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-06-05T23:29:52.3113314Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/ops_unary.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
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2025-06-05T23:29:52.3117667Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/arm_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer
2025-06-05T23:29:52.3119382Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer
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2025-06-05T23:29:52.3126196Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test
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2025-06-05T23:29:52.3130599Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/runner_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test
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2025-06-05T23:29:52.3136202Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_custom_partition.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-06-05T23:29:52.3137857Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_debug_feats.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-06-05T23:29:52.3139517Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_dim_order_guards.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-06-05T23:29:52.3141160Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_lifted_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
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2025-06-05T23:29:52.3144732Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_multiple_delegates.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-06-05T23:29:52.3146519Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_multiple_outputs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-06-05T23:29:52.3148423Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_non_persistent_buffers.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-06-05T23:29:52.3150431Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-06-05T23:29:52.3152409Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_tosa_spec.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
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2025-06-05T23:29:52.3156278Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_deit_tiny_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
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2025-06-05T23:29:52.3160076Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_llama.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-06-05T23:29:52.3161866Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_lstm_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-06-05T23:29:52.3163725Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
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2025-06-05T23:29:52.3167223Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_nn_functional.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
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2025-06-05T23:29:52.3177421Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_alias_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3179030Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_amax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3180406Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_amin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3181917Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3183370Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_arange.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3184915Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_at.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3186377Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3188340Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3189945Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_bitwise.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3191538Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3192956Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3194464Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3196017Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_clone.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3197542Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3199101Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv1d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3200979Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3202625Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv3d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3204240Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv_combos.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3206015Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv_constant_pad_nd.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3207725Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_cos.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3209659Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_depthwise_conv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3211298Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3213228Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_eq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3214881Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_erf.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3216384Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_exp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3218103Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_expand.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3219817Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_eye.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3221179Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_full.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3235347Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_ge.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3237068Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_gelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3238676Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_group_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3240542Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_gt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3242198Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_hardsigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3243895Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3245694Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3247375Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_layer_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3249065Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_le.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3250534Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_leaky_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3252118Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_linalg_vector_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3253939Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3255461Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3256984Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_logical.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3258626Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_logsoftmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3260480Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_lshift.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3262693Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_lt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3264303Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_matmul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3266031Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_max_pool.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3267643Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_maximum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3269228Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3270566Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_minimum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3272142Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_mm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3273626Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_mul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3275157Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_ne.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3276670Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_neg.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3278155Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_ones.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3279684Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3281212Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_pow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3282745Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_reciprocal.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3284215Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3285758Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3287267Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_rshift.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3288851Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3290411Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_scalar_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3291978Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_scalars.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3293611Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3295128Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_select.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3296672Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3298226Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3299823Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3301391Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_silu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3302891Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3304394Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_slice.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3305917Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3307494Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_split.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3309014Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3310518Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_squeeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3312036Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3313534Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3315083Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_tanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3316599Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_to_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3318121Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_unary.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3319696Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_unsqueeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3321308Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_upsample_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3322948Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3324777Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_var.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3326658Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_view.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-06-05T23:29:52.3328137Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_where.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
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2025-06-05T23:29:52.3330895Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/passes
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2025-06-05T23:29:52.3333898Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_cast_int64_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3335856Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_convert_expand_copy_to_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3337514Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_convert_int_pow_to_muls.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3339337Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_convert_split_to_slice.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3341151Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3342831Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_decompose_cosine_similarity_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3344506Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_decompose_div_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3346117Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_decompose_layernorm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3347982Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_decompose_linalg_vector_norm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3349961Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_decompose_meandim_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3351696Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_decompose_softmax_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3353516Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_decompose_var_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3355185Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3356817Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3358554Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3360290Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_fuse_equal_placeholders_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3362078Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3363683Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3366034Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_remove_clone_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3367714Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_rescale_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3369469Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-06-05T23:29:52.3370647Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/quantizer
2025-06-05T23:29:52.3371834Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer/test_generic_annotater.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/quantizer
2025-06-05T23:29:52.3373216Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tester
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2025-06-05T23:29:52.3376011Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester/analyze_output_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/tester
2025-06-05T23:29:52.3377607Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester/arm_tester.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/tester
2025-06-05T23:29:52.3379243Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester/test_pipeline.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/tester
2025-06-05T23:29:52.3380425Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tosautil
2025-06-05T23:29:52.3381509Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/tosautil
2025-06-05T23:29:52.3382568Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/util
2025-06-05T23:29:52.3383669Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/util/arm_model_evaluator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/util
2025-06-05T23:29:52.3384737Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party
2025-06-05T23:29:52.3385508Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib
2025-06-05T23:29:52.3386882Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/setup.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib
2025-06-05T23:29:52.3388919Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python
2025-06-05T23:29:52.3390298Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-06-05T23:29:52.3391824Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-06-05T23:29:52.3393971Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-06-05T23:29:52.3395560Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3397249Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3399399Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3401480Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3403728Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3405955Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3408124Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3410420Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3412599Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3414867Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3417281Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3419540Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3421823Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3424068Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3426285Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3428484Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3430945Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3433120Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3435506Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3437663Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3439888Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3442147Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3444314Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3447276Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3449694Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3452181Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3454513Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3456938Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3459229Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3461443Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3463873Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3466506Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3468843Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3471361Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3473644Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-06-05T23:29:52.3475219Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test
2025-06-05T23:29:52.3476333Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts
2025-06-05T23:29:52.3478173Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/test/scripts
2025-06-05T23:29:52.3479871Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2025-06-05T23:29:52.3481650Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2025-06-05T23:29:52.3483438Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party
2025-06-05T23:29:52.3484521Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers
2025-06-05T23:29:52.3486374Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conanfile.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers
2025-06-05T23:29:52.3488336Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan
2025-06-05T23:29:52.3490275Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/build.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan
2025-06-05T23:29:52.3492321Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package
2025-06-05T23:29:52.3494711Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package/conanfile.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package
2025-06-05T23:29:52.3496827Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens
2025-06-05T23:29:52.3499224Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/generate_goldens.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens
2025-06-05T23:29:52.3502011Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/golden_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens
2025-06-05T23:29:52.3504008Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp
2025-06-05T23:29:52.3505998Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp
2025-06-05T23:29:52.3508035Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp
2025-06-05T23:29:52.3510228Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp
2025-06-05T23:29:52.3512203Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart
2025-06-05T23:29:52.3514210Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart
2025-06-05T23:29:52.3516194Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go
2025-06-05T23:29:52.3518325Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go
2025-06-05T23:29:52.3520408Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java
2025-06-05T23:29:52.3522392Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java
2025-06-05T23:29:52.3524609Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin
2025-06-05T23:29:52.3526562Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin
2025-06-05T23:29:52.3528976Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster
2025-06-05T23:29:52.3531148Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster
2025-06-05T23:29:52.3533326Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua
2025-06-05T23:29:52.3535334Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua
2025-06-05T23:29:52.3537527Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim
2025-06-05T23:29:52.3539457Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim
2025-06-05T23:29:52.3541413Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php
2025-06-05T23:29:52.3543392Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php
2025-06-05T23:29:52.3545998Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py
2025-06-05T23:29:52.3547897Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Galaxy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py
2025-06-05T23:29:52.3550550Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Universe.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py
2025-06-05T23:29:52.3553010Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py
2025-06-05T23:29:52.3555613Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py
2025-06-05T23:29:52.3557574Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust
2025-06-05T23:29:52.3559698Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust
2025-06-05T23:29:52.3561660Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift
2025-06-05T23:29:52.3563840Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift
2025-06-05T23:29:52.3565738Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts
2025-06-05T23:29:52.3567804Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts
2025-06-05T23:29:52.3569878Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema
2025-06-05T23:29:52.3571963Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema/basic.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema
2025-06-05T23:29:52.3574080Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python
2025-06-05T23:29:52.3576152Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python
2025-06-05T23:29:52.3578736Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/setup.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python
2025-06-05T23:29:52.3580609Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:52.3582723Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:52.3585645Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/_version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:52.3588477Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:52.3591336Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/compat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:52.3594229Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/encode.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:52.3597090Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/flexbuffers.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:52.3600200Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/number_types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:52.3603228Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/packer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:52.3605987Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/table.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:52.3608870Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers
2025-06-05T23:29:52.3611115Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:52.3613543Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/AdvancedFeatures.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:52.3616909Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/BaseType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:52.3619974Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Enum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:52.3623083Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/EnumVal.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:52.3626209Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Field.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:52.3629537Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/KeyValue.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:52.3632540Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Object.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:52.3635728Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/RPCCall.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:52.3638866Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:52.3641905Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/SchemaFile.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:52.3645442Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Service.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:52.3648722Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Type.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:52.3652272Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection
2025-06-05T23:29:52.3655060Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/py.typed -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python
2025-06-05T23:29:52.3657179Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples
2025-06-05T23:29:52.3659189Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/sample_binary.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples
2025-06-05T23:29:52.3662105Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/monster.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples
2025-06-05T23:29:52.3664307Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts
2025-06-05T23:29:52.3666289Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check_generate_code.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts
2025-06-05T23:29:52.3669136Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_code.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts
2025-06-05T23:29:52.3672011Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_grpc_examples.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts
2025-06-05T23:29:52.3674768Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts
2025-06-05T23:29:52.3677438Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check-grpc-generated-code.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts
2025-06-05T23:29:52.3679312Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:52.3681164Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test_generated.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:52.3683807Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_flexbuffers_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:52.3686291Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
2025-06-05T23:29:52.3688406Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame
2025-06-05T23:29:52.3690472Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/InParentNamespace.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame
2025-06-05T23:29:52.3693254Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/MonsterExtra.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame
2025-06-05T23:29:52.3696088Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame
2025-06-05T23:29:52.3698129Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:52.3700654Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Ability.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:52.3703887Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:52.3707252Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyAmbiguousAliases.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:52.3710658Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyUniqueAliases.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:52.3713986Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayStruct.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:52.3717237Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayTable.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:52.3720195Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Color.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:52.3723340Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/LongEnum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:52.3726895Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Monster.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
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2025-06-05T23:29:52.3765394Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
2025-06-05T23:29:52.3768392Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/monster_test_grpc_fb.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example
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2025-06-05T23:29:52.3785995Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion
2025-06-05T23:29:52.3789286Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Vec3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion
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2025-06-05T23:29:52.3930405Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/TableInNestedNS.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB
2025-06-05T23:29:52.3933763Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/UnionInNestedNS.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB
2025-06-05T23:29:52.3936968Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB
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2025-06-05T23:29:52.3953773Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MutatingBool.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests
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2025-06-05T23:29:52.4402935Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators
2025-06-05T23:29:52.4403713Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/op_base.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators
2025-06-05T23:29:52.4404599Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators
2025-06-05T23:29:52.4405408Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators
2025-06-05T23:29:52.4405746Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/mediatek
2025-06-05T23:29:52.4406366Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek
2025-06-05T23:29:52.4407134Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek
2025-06-05T23:29:52.4407877Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek
2025-06-05T23:29:52.4408124Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/mediatek/_passes
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2025-06-05T23:29:52.4409705Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/_passes
2025-06-05T23:29:52.4410000Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/mediatek/quantizer
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2025-06-05T23:29:52.4411533Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer/annotator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/quantizer
2025-06-05T23:29:52.4412311Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer/qconfig.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/quantizer
2025-06-05T23:29:52.4413138Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/quantizer
2025-06-05T23:29:52.4413419Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp
2025-06-05T23:29:52.4414190Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/neutron_node_extraction.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp
2025-06-05T23:29:52.4414778Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/neutron_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp
2025-06-05T23:29:52.4415554Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/neutron_pass_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp
2025-06-05T23:29:52.4416083Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/nxp_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp
2025-06-05T23:29:52.4416391Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/aten_passes
2025-06-05T23:29:52.4417217Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/aten_passes/fuse_batch_norm_with_conv_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/aten_passes
2025-06-05T23:29:52.4417977Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/aten_passes/fuse_batch_norm_with_linear_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/aten_passes
2025-06-05T23:29:52.4418718Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/aten_passes/neutron_aten_pass_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/aten_passes
2025-06-05T23:29:52.4418983Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend
2025-06-05T23:29:52.4419689Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/edge_helper.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend
2025-06-05T23:29:52.4420592Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/edge_program_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend
2025-06-05T23:29:52.4421276Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/neutron_converter_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend
2025-06-05T23:29:52.4422099Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/node_format_inference.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend
2025-06-05T23:29:52.4422348Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir
2025-06-05T23:29:52.4423021Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/conversion_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir
2025-06-05T23:29:52.4423824Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/conversion_context.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir
2025-06-05T23:29:52.4424493Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/logger.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir
2025-06-05T23:29:52.4425256Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tensor_formatting.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir
2025-06-05T23:29:52.4425535Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/converter
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2025-06-05T23:29:52.4427250Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter
2025-06-05T23:29:52.4428305Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/quantization_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter
2025-06-05T23:29:52.4429318Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/tensor_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter
2025-06-05T23:29:52.4429703Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/converter/builder
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2025-06-05T23:29:52.4431729Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder/aten_model_builder_director.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/builder
2025-06-05T23:29:52.4432713Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder/model_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/builder
2025-06-05T23:29:52.4433682Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder/quantization_verification.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/builder
2025-06-05T23:29:52.4434023Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/converter/conversion
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2025-06-05T23:29:52.4436069Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion/aten_translator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/conversion
2025-06-05T23:29:52.4437000Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion/common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/conversion
2025-06-05T23:29:52.4437993Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion/translator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/conversion
2025-06-05T23:29:52.4438423Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/converter/node_converters
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2025-06-05T23:29:52.4439960Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:52.4441066Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:52.4442277Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/addmm_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:52.4443464Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/avg_pool_2d_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:52.4444612Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/constant_pad_nd_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:52.4445797Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/convolution_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:52.4446952Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/max_pool_2d_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:52.4448067Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/mm_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:52.4449287Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/permute_copy_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:52.4450566Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_dequantize_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:52.4451805Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_quantize_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:52.4453130Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/relu_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:52.4454244Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/softmax_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:52.4455466Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/view_copy_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters
2025-06-05T23:29:52.4456063Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/converter/node_converters/shared
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2025-06-05T23:29:52.4458193Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared/recurrent_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/shared
2025-06-05T23:29:52.4459329Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared/reduce_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/shared
2025-06-05T23:29:52.4460413Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared/reshape_transposition.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/shared
2025-06-05T23:29:52.4460731Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/lib
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2025-06-05T23:29:52.4461833Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/lib/tflite
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2025-06-05T23:29:52.4463690Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/AbsOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4464730Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ActivationFunctionType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4465672Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/AddNOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4466693Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/AddOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4467770Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ArgMaxOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4468704Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ArgMinOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4469751Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/AssignVariableOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4470821Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BatchMatMulOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4471907Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BatchToSpaceNDOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4472948Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceLSTMOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4474078Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceRNNOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4475031Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BitcastOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4475900Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BitwiseXorOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4476876Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BroadcastToOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4477810Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BucketizeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4478714Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Buffer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4479727Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOperator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4480710Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4481672Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4482735Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CallOnceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4483689Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CallOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4484654Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CastOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4485668Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CombinerType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4486791Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ConcatEmbeddingsOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4487974Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ConcatenationOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4489032Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Conv2DOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4490199Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Conv3DOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4491337Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CosOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4492378Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CumsumOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4493604Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CustomOptionsFormat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4494717Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CustomQuantization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4495633Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DensifyOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4496603Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DepthToSpaceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4497451Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DepthwiseConv2DOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4498424Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DequantizeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4499204Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DilateOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4500169Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DimensionMetadata.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4501103Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DimensionType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4501968Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DivOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4503125Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DynamicUpdateSliceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4504315Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/EmbeddingLookupSparseOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4505148Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/EqualOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4506214Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ExpOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4507109Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ExpandDimsOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4508107Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/FakeQuantOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4509006Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/FillOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4509963Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/FloorDivOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4510924Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/FloorModOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4511891Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4513037Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptionsWeightsFormat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4513973Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/GatherNdOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4514897Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/GatherOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4515799Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/GeluOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4516759Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/GreaterEqualOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4517699Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/GreaterOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4518597Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/HardSwishOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4519635Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/HashtableFindOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4520518Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/HashtableImportOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
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2025-06-05T23:29:52.4522607Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/HashtableSizeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4523528Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/IfOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4524577Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Int32Vector.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4525507Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/L2NormOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4526567Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4527594Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4528496Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LSTMKernelType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4529787Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LSTMOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4530731Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LeakyReluOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4531708Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LessEqualOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4532673Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LessOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4533857Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LocalResponseNormalizationOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4534909Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LogSoftmaxOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4535967Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LogicalAndOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4536844Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LogicalNotOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4537978Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LogicalOrOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4538925Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/MatrixDiagOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4539872Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/MatrixSetDiagOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4540921Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/MaximumMinimumOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4541797Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Metadata.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4542784Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadMode.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4543877Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4544713Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4545700Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/MulOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4546659Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/NegOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4547870Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV4Options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4548974Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV5Options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4549943Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/NotEqualOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4550974Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/OneHotOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4551897Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Operator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4552924Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/OperatorCode.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4553879Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/PackOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4554856Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/PadOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4555889Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/PadV2Options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4556835Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Padding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4557882Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Pool2DOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4558815Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/PowOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4559893Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/QuantizationDetails.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4560938Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/QuantizationParameters.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4561943Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/QuantizeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4562904Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/RNNOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4563906Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/RandomOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4564870Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/RangeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4565862Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/RankOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4566929Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ReadVariableOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4567944Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowFunction.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4568950Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4569977Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ReducerOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4570920Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ReshapeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4571965Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ResizeBilinearOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4573156Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ResizeNearestNeighborOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4574183Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ReverseSequenceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4575248Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ReverseV2Options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4576192Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Rfft2dOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4577156Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/RightShiftOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4578238Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/RngAlgorithm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4579203Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SVDFOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4580175Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ScatterNdOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4581254Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SegmentSumOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4582228Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SelectOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4583188Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SelectV2Options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4584298Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SequenceRNNOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4585247Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ShapeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4586192Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SignOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4587195Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SignatureDef.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4588135Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SkipGramOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4589100Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SliceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4590224Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SoftmaxOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4591221Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SpaceToBatchNDOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4592291Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SpaceToDepthOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4593353Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SparseIndexVector.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4594391Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SparseToDenseOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4595359Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SparsityParameters.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4596374Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SplitOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4597362Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SplitVOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4598348Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SquareOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4599492Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SquaredDifferenceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4600440Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SqueezeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4601550Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloBroadcastInDimOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4602721Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloCompareOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4603853Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonDirection.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4604872Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4605988Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloConcatenateOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4607111Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloConvolutionOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4608171Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloCustomCallOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4609360Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloDotGeneralOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4610654Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloDynamicSliceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4611644Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloGatherOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4612648Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloIotaOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4613677Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloPadOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4614643Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloPrecisionConfig.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4615717Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4616745Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceWindowOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4617766Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloRngBitGeneratorOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4618742Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloScatterOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4619706Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloSliceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4620667Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloSortOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4621727Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloTransposeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4622675Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloWhileOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4623512Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StridedSliceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4624373Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SubGraph.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4625186Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SubOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4625969Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4626829Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/TensorMap.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4627606Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/TensorType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4628500Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/TileOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4629510Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/TopKV2Options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4630589Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/TransposeConvOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4631480Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/TransposeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4632363Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Uint16Vector.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4633250Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Uint8Vector.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4634227Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/UnidirectionalSequenceLSTMOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4635107Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/UniqueOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4636096Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/UnpackOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4636990Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMaxOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4638069Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMinOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4639135Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentProdOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4640019Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentSumOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4640990Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/VarHandleOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4641928Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/VariantSubType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4642725Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/WhereOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4643540Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/WhileOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4644442Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ZerosLikeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4645364Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite
2025-06-05T23:29:52.4645698Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/tflite_generator
2025-06-05T23:29:52.4646458Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator
2025-06-05T23:29:52.4647413Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/tflite_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator
2025-06-05T23:29:52.4647854Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4648933Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4649872Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/abs_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4651055Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_n_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4652108Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4653148Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_max_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4654297Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_min_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4655412Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/average_pool_2d_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4656450Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/batch_mat_mul_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4657758Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_lstm_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4659082Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_rnn_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4660292Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bitwise_xor_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4661487Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/broadcast_to_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4662592Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cast_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4663696Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/concatenation_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4664799Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_2d_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4665924Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_3d_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4667203Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cum_sum_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4668535Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depth_to_space_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4669742Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depthwise_conv_2d_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4670948Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/dequantize_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4672045Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/div_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4673211Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/equal_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4674313Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/exp_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4675523Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/floor_mod_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4676634Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/fully_connected_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4677780Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_nd_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4678972Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4680188Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gelu_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4681405Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_equal_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4682433Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4683430Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/hard_swish_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4684649Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/leaky_relu_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4686172Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_equal_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4687324Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4688542Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/log_softmax_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4689648Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_and_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4690841Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_not_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4692047Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_or_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4693243Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lrn_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4694358Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lstm_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4695452Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/max_pool_2d_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4696656Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/maximum_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4697870Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mean_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4698825Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/minimum_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4699993Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mirror_pad_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4701047Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mul_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4702212Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/multinomial_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4703423Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/neg_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4704558Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/not_equal_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4705673Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/one_hot_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4706817Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4707959Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_v2_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4708957Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pow_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4710053Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/quantize_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4711392Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/range_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4712646Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_max_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4713827Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_min_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4715142Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_prod_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4716309Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reshape_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4717521Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_bilinear_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4718771Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_nearest_neighbor_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4720110Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reverse_sequence_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4721301Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/scatter_nd_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4722420Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/select_v2_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4723480Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/shape_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4724606Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sign_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4725897Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/slice_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4727075Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/softmax_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4728384Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/space_to_depth_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4729710Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4730792Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_v_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4731818Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/square_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4733301Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squared_difference_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4734345Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squeeze_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4735437Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/strided_slice_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4736484Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sub_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4737628Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sum_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4738627Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/tile_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4739744Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_conv_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4740760Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4741950Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_lstm_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4743052Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_rnn_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options
2025-06-05T23:29:52.4743549Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/tflite_generator/custom_options
2025-06-05T23:29:52.4744592Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/custom_options/flex_transpose_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/custom_options
2025-06-05T23:29:52.4745072Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/tflite_generator/meta
2025-06-05T23:29:52.4745997Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/meta/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/meta
2025-06-05T23:29:52.4746899Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/meta/meta.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/meta
2025-06-05T23:29:52.4747781Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/meta/types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/meta
2025-06-05T23:29:52.4748171Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/tflite_optimizer
2025-06-05T23:29:52.4749016Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer
2025-06-05T23:29:52.4749954Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/graph_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer
2025-06-05T23:29:52.4750845Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/operator_rules.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer
2025-06-05T23:29:52.4751707Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer
2025-06-05T23:29:52.4752662Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/pattern_matcher.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer
2025-06-05T23:29:52.4753549Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/tensor_rules.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer
2025-06-05T23:29:52.4754065Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4755032Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4756158Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/base_optimization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4757314Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/combine_hard_sigmoid_and_mul_to_hard_swish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4758562Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/eliminate_dead_branches.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4759997Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_activation_functions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4761224Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_fully_connected_and_add_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4762445Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_quanitze_into_preceding_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4763548Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/keep_one_empty_buffer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4764651Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/move_relu_before_concat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4765970Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/permute_fully_connected_weights_after_reshape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4767123Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_cast_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4768290Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_quantize_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4769428Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_reshape_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4770709Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_transpose_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4772017Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/remove_unused_tensors_and_buffers.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4773377Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/replace_average_pool_before_fully_connected_with_sum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations
2025-06-05T23:29:52.4773644Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/quantizer
2025-06-05T23:29:52.4774417Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/quantizer/neutron_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/quantizer
2025-06-05T23:29:52.4775236Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/quantizer/patterns.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/quantizer
2025-06-05T23:29:52.4776016Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/quantizer/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/quantizer
2025-06-05T23:29:52.4776278Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/tests
2025-06-05T23:29:52.4777130Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/executorch_pipeline.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests
2025-06-05T23:29:52.4777766Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/executors.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests
2025-06-05T23:29:52.4778525Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/exported_program_vizualize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests
2025-06-05T23:29:52.4779183Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests
2025-06-05T23:29:52.4779870Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/test_batch_norm_fusion.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests
2025-06-05T23:29:52.4780609Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/test_neutron_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests
2025-06-05T23:29:52.4781328Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/test_neutron_converter_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests
2025-06-05T23:29:52.4782281Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/test_node_format_inference.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests
2025-06-05T23:29:52.4783011Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/test_operator_selector.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests
2025-06-05T23:29:52.4783920Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/test_qdq_clustering_conv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests
2025-06-05T23:29:52.4784690Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/test_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests
2025-06-05T23:29:52.4785064Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/tests/ir
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2025-06-05T23:29:52.4788206Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_constant_pad_nd_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter
2025-06-05T23:29:52.4789343Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_conv_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter
2025-06-05T23:29:52.4790454Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_linear_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter
2025-06-05T23:29:52.4791983Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_max_pool_2d_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter
2025-06-05T23:29:52.4793055Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_permute_copy_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter
2025-06-05T23:29:52.4794089Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_relu_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter
2025-06-05T23:29:52.4795156Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_softmax_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter
2025-06-05T23:29:52.4796262Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_view_copy_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter
2025-06-05T23:29:52.4796487Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/openvino
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2025-06-05T23:29:52.4797868Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino
2025-06-05T23:29:52.4798557Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino
2025-06-05T23:29:52.4798993Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/openvino/quantizer
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2025-06-05T23:29:52.4800501Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/quantizer/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/quantizer
2025-06-05T23:29:52.4800778Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/openvino/tests
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2025-06-05T23:29:52.4803110Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/openvino/tests/ops
2025-06-05T23:29:52.4803935Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/base_openvino_op_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops
2025-06-05T23:29:52.4804807Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops
2025-06-05T23:29:52.4805551Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_addmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops
2025-06-05T23:29:52.4806269Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_arange.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops
2025-06-05T23:29:52.4807026Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops
2025-06-05T23:29:52.4807906Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_convolution.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops
2025-06-05T23:29:52.4808692Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_mean.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops
2025-06-05T23:29:52.4809452Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops
2025-06-05T23:29:52.4810337Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_pooling.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops
2025-06-05T23:29:52.4811020Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_unary_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops
2025-06-05T23:29:52.4811791Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_view.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops
2025-06-05T23:29:52.4812090Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm
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2025-06-05T23:29:52.4813137Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/_passes
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2025-06-05T23:29:52.4814536Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/annotate_adaptive_avg_pool1d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4815306Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4816003Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/annotate_stack.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4816726Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/annotate_unbind.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4817423Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/build_quant_io.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4818186Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4818891Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/convert_conv1d_to_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4819759Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/convert_square_to_pow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4820407Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4821169Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_cdist.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4821834Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_einsum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4822654Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_expm1.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4823366Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4824102Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_roll.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4824770Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_silu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4825598Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4826276Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/fixed_linear_keep_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4826999Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/fold_qdq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4827843Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/fuse_consecutive_cast.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4829020Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4829798Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/i64_to_i32.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4830555Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4831408Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/insert_requantize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4832113Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/layout_transform.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4832914Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4833778Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/qnn_pass_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4834584Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4835301Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4836030Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4836748Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/remove_0d_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4837496Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/remove_redundancy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4838233Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/replace_arange_args.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4838956Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4839674Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/replace_inf_values.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4840355Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/tag_quant_io.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4840976Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-06-05T23:29:52.4841279Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
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2025-06-05T23:29:52.4842692Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4843382Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4844134Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4844799Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4845491Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_amax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4846323Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_and.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4847099Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_arange.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4847974Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_argmin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4848727Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4849528Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4850183Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4850974Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4851654Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_ceil.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4852526Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4853327Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4854121Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_cos.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4854825Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_cum_sum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4855599Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_depth_to_space.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4856374Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_dequantize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4857061Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4857914Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_elu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4858704Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_embedding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4859536Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_eq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4860261Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_exp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4861092Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_expand.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4861895Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_full.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4862728Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_full_like.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4863474Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_gather.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4864387Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_ge.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4865311Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_gelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4865982Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_group_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4866784Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_gt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4867491Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4868380Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4869191Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4870053Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_index.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4870903Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_index_put.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4871700Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_instance_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4872544Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_layer_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4873346Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_le.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4874130Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4874961Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4875965Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_log_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4876805Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_logical_not.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4877597Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_lt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4878286Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_matmul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4879272Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_max.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4880024Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4880850Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4881586Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_min.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4882349Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_mul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4882996Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_ne.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4883657Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_neg.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4884503Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_or.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4885211Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_pad.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4885986Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_pow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4886636Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_prelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4887499Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_quantize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4888140Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4888819Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4889635Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_reshape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4890345Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_resize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4908286Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_rms_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4908987Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4909768Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_scalar_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4910488Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_select_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4911189Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4912026Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4912754Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4913555Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4914283Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4915124Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_space_to_depth.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4915866Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4916543Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4917255Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_squeeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4917969Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_stack.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4918824Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4919527Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sum_int_list.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4920318Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_tanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4921109Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_to.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4921829Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_topk.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4922656Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_transpose.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4923489Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_unbind.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4924291Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_unsqueeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4925120Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4926032Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4926808Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_where.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-06-05T23:29:52.4927629Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/qnn_constants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
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2025-06-05T23:29:52.4932992Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer
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2025-06-05T23:29:52.4934643Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/custom_annotation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer
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2025-06-05T23:29:52.4936701Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer/observers
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2025-06-05T23:29:52.4938842Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer/observers
2025-06-05T23:29:52.4939256Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/serialization
2025-06-05T23:29:52.4940097Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization/qc_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/serialization
2025-06-05T23:29:52.4940955Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/serialization
2025-06-05T23:29:52.4941911Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/serialization
2025-06-05T23:29:52.4942167Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/tests
2025-06-05T23:29:52.4942905Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests/models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/tests
2025-06-05T23:29:52.4943662Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/tests
2025-06-05T23:29:52.4944467Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/tests
2025-06-05T23:29:52.4996734Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/utils
2025-06-05T23:29:52.4997612Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils/constants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/utils
2025-06-05T23:29:52.4998374Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/utils
2025-06-05T23:29:52.4998622Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot
2025-06-05T23:29:52.4998957Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot/ir
2025-06-05T23:29:52.4999715Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir/qcir.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/aot/ir
2025-06-05T23:29:52.5000064Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms
2025-06-05T23:29:52.5000845Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-06-05T23:29:52.5001545Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/addmm_mm_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-06-05T23:29:52.5002268Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/convert_dtype_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-06-05T23:29:52.5003040Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/decompose_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-06-05T23:29:52.5003905Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-06-05T23:29:52.5004796Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_batch_norm_with_conv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-06-05T23:29:52.5005577Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_conv_with_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-06-05T23:29:52.5006451Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_view_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-06-05T23:29:52.5007180Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/mean_to_sum_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-06-05T23:29:52.5007959Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/rank_0_to_rank_1.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-06-05T23:29:52.5008727Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/remove_clone_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-06-05T23:29:52.5009374Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/remove_getitem_op.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-06-05T23:29:52.5010148Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/replace_scalar_with_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-06-05T23:29:52.5010796Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-06-05T23:29:52.5011720Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-06-05T23:29:52.5011985Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms/test
2025-06-05T23:29:52.5013128Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms/test
2025-06-05T23:29:52.5013878Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms/test
2025-06-05T23:29:52.5014812Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms/test
2025-06-05T23:29:52.5015028Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan
2025-06-05T23:29:52.5015658Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan
2025-06-05T23:29:52.5016384Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/custom_ops_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan
2025-06-05T23:29:52.5017034Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/op_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan
2025-06-05T23:29:52.5017665Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan
2025-06-05T23:29:52.5018309Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/vulkan_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan
2025-06-05T23:29:52.5018652Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/_passes
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2025-06-05T23:29:52.5020195Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/fuse_quantized_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-06-05T23:29:52.5021007Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-06-05T23:29:52.5021868Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-06-05T23:29:52.5022719Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/remove_asserts.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-06-05T23:29:52.5023451Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-06-05T23:29:52.5024306Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-06-05T23:29:52.5024978Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-06-05T23:29:52.5025829Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-06-05T23:29:52.5026141Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/partitioner
2025-06-05T23:29:52.5027051Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/partitioner
2025-06-05T23:29:52.5027300Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/quantizer
2025-06-05T23:29:52.5028151Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/quantizer
2025-06-05T23:29:52.5028449Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime
2025-06-05T23:29:52.5029296Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime
2025-06-05T23:29:52.5029638Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph
2025-06-05T23:29:52.5030043Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops
2025-06-05T23:29:52.5030350Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5031393Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5032274Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5060549Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5062128Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5063643Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5065212Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5066752Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5068646Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5070255Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5071819Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5073319Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5074827Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5094050Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5095708Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5097478Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5099159Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5100825Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5102548Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5104064Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5105601Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw_s1p0.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5107208Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5108937Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5110548Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5112099Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5113710Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5115396Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5116877Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5118345Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5119907Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-06-05T23:29:52.5121538Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-06-05T23:29:52.5124836Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-06-05T23:29:52.5268361Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
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2025-06-05T23:29:52.5271040Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/xnnpack_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack
2025-06-05T23:29:52.5271505Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/_passes
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2025-06-05T23:29:52.5274072Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-06-05T23:29:52.5275453Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-06-05T23:29:52.5276714Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-06-05T23:29:52.5277944Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-06-05T23:29:52.5279324Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-06-05T23:29:52.5280565Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/decompose_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-06-05T23:29:52.5281932Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-06-05T23:29:52.5283218Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-06-05T23:29:52.5284504Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-06-05T23:29:52.5285862Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-06-05T23:29:52.5287063Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-06-05T23:29:52.5287549Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5310449Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5311507Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5312231Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5313026Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5313800Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_addmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5314543Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5315205Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5315992Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5316717Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_ceiling.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5317365Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5318165Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5319034Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5320108Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5320912Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5321657Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_elu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5322411Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_exp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5323326Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_floor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5324020Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_gelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5325055Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5325760Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5326581Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_leaky_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5327303Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5328044Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5329102Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5329851Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_max_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5330571Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5331237Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_maximum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5332070Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5332727Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_minimum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5333564Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_multiply.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5334445Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_negate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5335370Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5336077Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_prelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5337033Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_quant_dequant.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5337803Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5338740Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5339407Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5340360Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5341164Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5341980Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5342819Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5343688Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_square.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5344584Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_square_root.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5345396Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_squeeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5346373Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5347358Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5390472Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5391315Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_to_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5392160Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/quant_params.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-06-05T23:29:52.5392438Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition
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2025-06-05T23:29:52.5394186Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition
2025-06-05T23:29:52.5394639Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/config
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2025-06-05T23:29:52.5396506Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/gemm_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-06-05T23:29:52.5397553Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-06-05T23:29:52.5398446Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/node_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-06-05T23:29:52.5399412Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-06-05T23:29:52.5400284Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-06-05T23:29:52.5400570Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/graphs
2025-06-05T23:29:52.5401590Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/graphs
2025-06-05T23:29:52.5402453Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs/sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/graphs
2025-06-05T23:29:52.5402904Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/quantizer
2025-06-05T23:29:52.5403758Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/quantizer
2025-06-05T23:29:52.5404634Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/quantizer
2025-06-05T23:29:52.5404905Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization
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2025-06-05T23:29:52.5406593Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/serialization
2025-06-05T23:29:52.5407616Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/serialization
2025-06-05T23:29:52.5408469Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/serialization
2025-06-05T23:29:52.5408761Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test
2025-06-05T23:29:52.5409645Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test
2025-06-05T23:29:52.5410479Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test
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2025-06-05T23:29:52.5412501Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/edsr.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-06-05T23:29:52.5413381Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-06-05T23:29:52.5414432Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/inception_v3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-06-05T23:29:52.5415268Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/inception_v4.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-06-05T23:29:52.5416253Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/llama2_et_example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-06-05T23:29:52.5417035Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/mobilebert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-06-05T23:29:52.5417913Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-06-05T23:29:52.5418664Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-06-05T23:29:52.5419585Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/resnet.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-06-05T23:29:52.5420460Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/torchvision_vit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-06-05T23:29:52.5421275Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/very_big_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-06-05T23:29:52.5422135Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/w2l.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-06-05T23:29:52.5422390Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
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2025-06-05T23:29:52.5424021Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5424756Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5425573Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5426338Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
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2025-06-05T23:29:52.5427891Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_ceil.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5463614Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5464375Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5465425Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_conv1d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5466167Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5467121Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5467929Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_elu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5468688Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_exp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5469644Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_floor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5470346Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_gelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5471331Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5472060Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5472841Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5473651Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5474403Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5475052Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_lstm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5475852Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_max_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
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2025-06-05T23:29:52.5477464Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-06-05T23:29:52.5478268Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
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2025-06-05T23:29:52.5479838Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_multiply.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
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2025-06-05T23:29:52.5484634Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
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2025-06-05T23:29:52.5489278Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_sqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
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2025-06-05T23:29:52.5579094Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools
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2025-06-05T23:29:52.5679215Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-06-05T23:29:52.5682208Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5683292Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5684296Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5685162Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5686116Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5686983Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5688081Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5689010Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5690030Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5691010Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5692015Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5693063Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5693944Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-06-05T23:29:52.5696030Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5697103Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5698299Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5699293Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5700319Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5701405Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5737273Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qb4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5739010Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5740916Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-06-05T23:29:52.5746097Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-06-05T23:29:52.5751176Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-06-05T23:29:52.5752722Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-06-05T23:29:52.5764582Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-06-05T23:29:52.5767823Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-06-05T23:29:52.5772361Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party
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2025-06-05T23:29:52.5775413Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils/quant_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/utils
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2025-06-05T23:29:52.5784218Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/activation_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
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2025-06-05T23:29:52.5796761Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_clone.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
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2025-06-05T23:29:52.5829089Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-06-05T23:29:52.5830368Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/pad_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-06-05T23:29:52.5831734Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/pooling_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
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2025-06-05T23:29:52.5834396Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/reduce_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-06-05T23:29:52.5835723Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/shape_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
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2025-06-05T23:29:52.5843767Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/serialization
2025-06-05T23:29:52.5845280Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/serialization
2025-06-05T23:29:52.5845730Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test
2025-06-05T23:29:52.5846945Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-06-05T23:29:52.5848334Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-06-05T23:29:52.5849609Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-06-05T23:29:52.5851066Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-06-05T23:29:52.5852316Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-06-05T23:29:52.5853757Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-06-05T23:29:52.5855019Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-06-05T23:29:52.5855455Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/utils
2025-06-05T23:29:52.5856696Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils/mps_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/utils
2025-06-05T23:29:52.5857948Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils/quant_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/utils
2025-06-05T23:29:52.5858395Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml
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2025-06-05T23:29:52.5861639Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/compiler
2025-06-05T23:29:52.5862175Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/partition
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2025-06-05T23:29:52.5865029Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/partition
2025-06-05T23:29:52.5865579Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/quantizer
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2025-06-05T23:29:52.5868324Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/quantizer
2025-06-05T23:29:52.5868922Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/test
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2025-06-05T23:29:52.5871704Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/test
2025-06-05T23:29:52.5872291Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime
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2025-06-05T23:29:52.5874360Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/runtime/test
2025-06-05T23:29:52.5875702Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/executorchcoreml.pyi -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml
2025-06-05T23:29:52.5877227Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/executorchcoreml.cpython-310-x86_64-linux-gnu.so -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml
2025-06-05T23:29:52.5877707Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence
2025-06-05T23:29:52.5878144Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot
2025-06-05T23:29:52.5879258Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5880390Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/compiler.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5881602Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/compiler_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5882815Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/decompose_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5884007Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/export_example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5885178Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/fuse_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5913692Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/graph_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5914936Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/memory_constraints.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5916285Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/memory_planning.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5917533Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/ops_registrations.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5918685Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/pass_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5919831Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5921061Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/ref_implementations.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5922309Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/remove_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5923492Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/reorder_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5924640Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/replace_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5925901Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/simplify_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5927028Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5927555Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/quantizer
2025-06-05T23:29:52.5929066Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer
2025-06-05T23:29:52.5930519Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/patterns.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer
2025-06-05T23:29:52.5931920Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer
2025-06-05T23:29:52.5933293Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer
2025-06-05T23:29:52.5933762Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/tests
2025-06-05T23:29:52.5935159Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_decompose_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-06-05T23:29:52.5936496Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-06-05T23:29:52.5937841Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_graph_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-06-05T23:29:52.5939180Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_memory_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-06-05T23:29:52.5940481Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_pass_filter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-06-05T23:29:52.5941968Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-06-05T23:29:52.5943400Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-06-05T23:29:52.5944745Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-06-05T23:29:52.5946135Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-06-05T23:29:52.5947340Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/functions.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5948700Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5949935Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/functions_hifi.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-06-05T23:29:52.5950505Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/runtime
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2025-06-05T23:29:52.5952927Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime/executor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/runtime
2025-06-05T23:29:52.5954136Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime/runtime.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/runtime
2025-06-05T23:29:52.5955338Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/runtime
2025-06-05T23:29:52.5955863Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils
2025-06-05T23:29:52.5957076Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/facto_util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils
2025-06-05T23:29:52.5958251Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/gen_header.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils
2025-06-05T23:29:52.5959507Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/post_compilation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils
2025-06-05T23:29:52.5960001Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO
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2025-06-05T23:29:52.5961886Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/calibrator
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2025-06-05T23:29:52.5964870Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/calibrator
2025-06-05T23:29:52.5965461Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/examples
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2025-06-05T23:29:52.5968610Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/examples
2025-06-05T23:29:52.5970057Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/examples
2025-06-05T23:29:52.5970602Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto
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2025-06-05T23:29:52.5990895Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen
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2025-06-05T23:29:52.5996927Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
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2025-06-05T23:29:52.6900196Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/qint_types.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.6901237Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/scalar.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.6902202Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/scalar_type.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.6937638Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/string_view.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.6938684Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/tensor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.6939699Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/tensor_impl.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.6940678Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/tensor_options.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-06-05T23:29:52.6941093Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10
2025-06-05T23:29:52.6941552Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10/c10
2025-06-05T23:29:52.6942042Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-06-05T23:29:52.6943246Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-06-05T23:29:52.6944431Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-06-05T23:29:52.6944907Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.6946161Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.6947455Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.6948698Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.6949811Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.6951045Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.6952263Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.6953329Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.6954433Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.6955617Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex_math.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.6956753Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex_utils.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.6958034Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.6959196Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:29:52.6959541Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/kernel
2025-06-05T23:29:52.6960478Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/kernel_includes.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel
2025-06-05T23:29:52.6961336Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/kernel_runtime_context.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel
2025-06-05T23:29:52.6962278Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/operator_registry.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel
2025-06-05T23:29:52.6963334Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/thread_parallel_interface.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel
2025-06-05T23:29:52.6963722Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/kernel/test
2025-06-05T23:29:52.6964549Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test/test_util.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel/test
2025-06-05T23:29:52.6964848Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.6965593Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/abort.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.6966329Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/assert.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.6967094Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/clock.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.6967868Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/compat_unistd.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.6968644Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/compiler.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.6969359Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/log.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.6970120Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/platform.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.6970870Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/profiler.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.6971652Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/runtime.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.6972387Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/system.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.6973200Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/types.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-06-05T23:29:52.6973541Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/platform/test
2025-06-05T23:29:52.7657916Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test/pal_spy.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform/test
2025-06-05T23:29:52.7659773Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test/stub_platform.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform/test
2025-06-05T23:29:52.7661139Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension
2025-06-05T23:29:52.7661853Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/kernel_util
2025-06-05T23:29:52.7663298Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/kernel_util
2025-06-05T23:29:52.7665437Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util/meta_programming.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/kernel_util
2025-06-05T23:29:52.7667251Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util/type_list.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/kernel_util
2025-06-05T23:29:52.7668488Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/tensor
2025-06-05T23:29:52.7669749Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor
2025-06-05T23:29:52.7671494Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor_accessor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor
2025-06-05T23:29:52.7673349Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor_ptr.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor
2025-06-05T23:29:52.7675100Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor_ptr_maker.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor
2025-06-05T23:29:52.7676477Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/threadpool
2025-06-05T23:29:52.7677879Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool/cpuinfo_utils.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/threadpool
2025-06-05T23:29:52.7679711Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool/threadpool.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/threadpool
2025-06-05T23:29:52.7681567Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool/threadpool_guard.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/threadpool
2025-06-05T23:29:52.7682702Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/data
2025-06-05T23:29:52.7683240Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/data/bin
2025-06-05T23:29:52.7683992Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/flatc -> pip-out/bdist.linux-x86_64/wheel/./executorch/data/bin
2025-06-05T23:29:52.7685162Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/data/bin
2025-06-05T23:29:52.7685828Z   running install_egg_info
2025-06-05T23:29:52.7686374Z   Copying executorch.egg-info to pip-out/bdist.linux-x86_64/wheel/./executorch-0.7.0a0+bd57234-py3.10.egg-info
2025-06-05T23:29:52.7686967Z   running install_scripts
2025-06-05T23:29:52.7687491Z   creating pip-out/bdist.linux-x86_64/wheel/executorch-0.7.0a0+bd57234.dist-info/WHEEL
2025-06-05T23:29:52.7688524Z   creating '/tmp/pip-wheel-bhq5puvo/.tmp-h6up6q2d/executorch-0.7.0a0+bd57234-cp310-cp310-linux_x86_64.whl' and adding 'pip-out/bdist.linux-x86_64/wheel' to it
2025-06-05T23:29:52.7689317Z   adding 'executorch/version.py'
2025-06-05T23:29:52.7689952Z   adding 'executorch/backends/apple/coreml/executorchcoreml.cpython-310-x86_64-linux-gnu.so'
2025-06-05T23:29:52.7690657Z   adding 'executorch/backends/apple/coreml/executorchcoreml.pyi'
2025-06-05T23:29:52.7691150Z   adding 'executorch/backends/apple/coreml/compiler/__init__.py'
2025-06-05T23:29:52.7691692Z   adding 'executorch/backends/apple/coreml/compiler/coreml_preprocess.py'
2025-06-05T23:29:52.7692284Z   adding 'executorch/backends/apple/coreml/partition/__init__.py'
2025-06-05T23:29:52.7692969Z   adding 'executorch/backends/apple/coreml/partition/coreml_partitioner.py'
2025-06-05T23:29:52.7693652Z   adding 'executorch/backends/apple/coreml/quantizer/__init__.py'
2025-06-05T23:29:52.7694246Z   adding 'executorch/backends/apple/coreml/quantizer/coreml_quantizer.py'
2025-06-05T23:29:52.7694929Z   adding 'executorch/backends/apple/coreml/runtime/test/export_stateful_model.py'
2025-06-05T23:29:52.7695604Z   adding 'executorch/backends/apple/coreml/test/test_coreml_partitioner.py'
2025-06-05T23:29:52.7696251Z   adding 'executorch/backends/apple/coreml/test/test_coreml_quantizer.py'
2025-06-05T23:29:52.7696726Z   adding 'executorch/backends/apple/mps/__init__.py'
2025-06-05T23:29:52.7697156Z   adding 'executorch/backends/apple/mps/mps_preprocess.py'
2025-06-05T23:29:52.7697620Z   adding 'executorch/backends/apple/mps/operators/__init__.py'
2025-06-05T23:29:52.7698219Z   adding 'executorch/backends/apple/mps/operators/activation_ops.py'
2025-06-05T23:29:52.7698746Z   adding 'executorch/backends/apple/mps/operators/binary_ops.py'
2025-06-05T23:29:52.7699295Z   adding 'executorch/backends/apple/mps/operators/clamp_ops.py'
2025-06-05T23:29:52.7699802Z   adding 'executorch/backends/apple/mps/operators/constant_ops.py'
2025-06-05T23:29:52.7700371Z   adding 'executorch/backends/apple/mps/operators/convolution_ops.py'
2025-06-05T23:29:52.7700954Z   adding 'executorch/backends/apple/mps/operators/indexing_ops.py'
2025-06-05T23:29:52.7701550Z   adding 'executorch/backends/apple/mps/operators/linear_algebra_ops.py'
2025-06-05T23:29:52.7702118Z   adding 'executorch/backends/apple/mps/operators/node_visitor.py'
2025-06-05T23:29:52.7702706Z   adding 'executorch/backends/apple/mps/operators/normalization_ops.py'
2025-06-05T23:29:52.7703263Z   adding 'executorch/backends/apple/mps/operators/op_clone.py'
2025-06-05T23:29:52.7703795Z   adding 'executorch/backends/apple/mps/operators/op_getitem.py'
2025-06-05T23:29:52.7704304Z   adding 'executorch/backends/apple/mps/operators/op_quant_dequant.py'
2025-06-05T23:29:52.7704931Z   adding 'executorch/backends/apple/mps/operators/op_skip_ops.py'
2025-06-05T23:29:52.7705424Z   adding 'executorch/backends/apple/mps/operators/pad_ops.py'
2025-06-05T23:29:52.7705953Z   adding 'executorch/backends/apple/mps/operators/pooling_ops.py'
2025-06-05T23:29:52.7706447Z   adding 'executorch/backends/apple/mps/operators/range_ops.py'
2025-06-05T23:29:52.7707029Z   adding 'executorch/backends/apple/mps/operators/reduce_ops.py'
2025-06-05T23:29:52.7707561Z   adding 'executorch/backends/apple/mps/operators/shape_ops.py'
2025-06-05T23:29:52.7708088Z   adding 'executorch/backends/apple/mps/operators/unary_ops.py'
2025-06-05T23:29:52.7708567Z   adding 'executorch/backends/apple/mps/partition/__init__.py'
2025-06-05T23:29:52.7709081Z   adding 'executorch/backends/apple/mps/partition/mps_partitioner.py'
2025-06-05T23:29:52.7709749Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_schema.py'
2025-06-05T23:29:52.7710533Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_serialize.py'
2025-06-05T23:29:52.7711095Z   adding 'executorch/backends/apple/mps/serialization/schema.fbs'
2025-06-05T23:29:52.7711569Z   adding 'executorch/backends/apple/mps/test/test_mps.py'
2025-06-05T23:29:52.7712040Z   adding 'executorch/backends/apple/mps/test/test_mps_binary_ops.py'
2025-06-05T23:29:52.7712574Z   adding 'executorch/backends/apple/mps/test/test_mps_indexing_ops.py'
2025-06-05T23:29:52.7713147Z   adding 'executorch/backends/apple/mps/test/test_mps_linear.py'
2025-06-05T23:29:52.7713760Z   adding 'executorch/backends/apple/mps/test/test_mps_models.py'
2025-06-05T23:29:52.7714321Z   adding 'executorch/backends/apple/mps/test/test_mps_unary_ops.py'
2025-06-05T23:29:52.7714809Z   adding 'executorch/backends/apple/mps/test/test_mps_utils.py'
2025-06-05T23:29:52.7715291Z   adding 'executorch/backends/apple/mps/utils/mps_utils.py'
2025-06-05T23:29:52.7715963Z   adding 'executorch/backends/apple/mps/utils/quant_utils.py'
2025-06-05T23:29:52.7716503Z   adding 'executorch/backends/arm/arm_backend.py'
2025-06-05T23:29:52.7716877Z   adding 'executorch/backends/arm/arm_vela.py'
2025-06-05T23:29:52.7717234Z   adding 'executorch/backends/arm/ethosu_backend.py'
2025-06-05T23:29:52.7717722Z   adding 'executorch/backends/arm/ethosu_partitioner.py'
2025-06-05T23:29:52.7718117Z   adding 'executorch/backends/arm/process_node.py'
2025-06-05T23:29:52.7718564Z   adding 'executorch/backends/arm/tosa_backend.py'
2025-06-05T23:29:52.7719014Z   adding 'executorch/backends/arm/tosa_mapping.py'
2025-06-05T23:29:52.7719417Z   adding 'executorch/backends/arm/tosa_partitioner.py'
2025-06-05T23:29:52.7719874Z   adding 'executorch/backends/arm/tosa_quant_utils.py'
2025-06-05T23:29:52.7720293Z   adding 'executorch/backends/arm/tosa_specification.py'
2025-06-05T23:29:52.7720687Z   adding 'executorch/backends/arm/tosa_utils.py'
2025-06-05T23:29:52.7721043Z   adding 'executorch/backends/arm/vgf_backend.py'
2025-06-05T23:29:52.7721426Z   adding 'executorch/backends/arm/vgf_partitioner.py'
2025-06-05T23:29:52.7721814Z   adding 'executorch/backends/arm/_passes/__init__.py'
2025-06-05T23:29:52.7722285Z   adding 'executorch/backends/arm/_passes/_debug_passes.py'
2025-06-05T23:29:52.7722818Z   adding 'executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py'
2025-06-05T23:29:52.7723432Z   adding 'executorch/backends/arm/_passes/annotate_decomposed_matmul.py'
2025-06-05T23:29:52.7724021Z   adding 'executorch/backends/arm/_passes/arm_pass.py'
2025-06-05T23:29:52.7724502Z   adding 'executorch/backends/arm/_passes/arm_pass_manager.py'
2025-06-05T23:29:52.7725029Z   adding 'executorch/backends/arm/_passes/arm_pass_utils.py'
2025-06-05T23:29:52.7725488Z   adding 'executorch/backends/arm/_passes/broadcast_args_pass.py'
2025-06-05T23:29:52.7725967Z   adding 'executorch/backends/arm/_passes/cast_int64_pass.py'
2025-06-05T23:29:52.7726421Z   adding 'executorch/backends/arm/_passes/cast_to_int32_pass.py'
2025-06-05T23:29:52.8006615Z   adding 'executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py'
2025-06-05T23:29:52.8007750Z   adding 'executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py'
2025-06-05T23:29:52.8008851Z   adding 'executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py'
2025-06-05T23:29:52.8009573Z   adding 'executorch/backends/arm/_passes/convert_full_like_to_full_pass.py'
2025-06-05T23:29:52.8010123Z   adding 'executorch/backends/arm/_passes/convert_int_pow_to_mul.py'
2025-06-05T23:29:52.8010710Z   adding 'executorch/backends/arm/_passes/convert_minmax_pass.py'
2025-06-05T23:29:52.8011546Z   adding 'executorch/backends/arm/_passes/convert_split_to_slice.py'
2025-06-05T23:29:52.8012065Z   adding 'executorch/backends/arm/_passes/convert_squeezes_to_view.py'
2025-06-05T23:29:52.8012667Z   adding 'executorch/backends/arm/_passes/convert_to_clamp.py'
2025-06-05T23:29:52.8013325Z   adding 'executorch/backends/arm/_passes/decompose_cosine_similarity_pass.py'
2025-06-05T23:29:52.8013881Z   adding 'executorch/backends/arm/_passes/decompose_div_pass.py'
2025-06-05T23:29:52.8014376Z   adding 'executorch/backends/arm/_passes/decompose_gelu_pass.py'
2025-06-05T23:29:52.8014895Z   adding 'executorch/backends/arm/_passes/decompose_groupnorm_pass.py'
2025-06-05T23:29:52.8015522Z   adding 'executorch/backends/arm/_passes/decompose_layernorm_pass.py'
2025-06-05T23:29:52.8016076Z   adding 'executorch/backends/arm/_passes/decompose_leaky_relu_pass.py'
2025-06-05T23:29:52.8016655Z   adding 'executorch/backends/arm/_passes/decompose_linalg_vector_norm_pass.py'
2025-06-05T23:29:52.8017207Z   adding 'executorch/backends/arm/_passes/decompose_linear_pass.py'
2025-06-05T23:29:52.8017892Z   adding 'executorch/backends/arm/_passes/decompose_meandim_pass.py'
2025-06-05T23:29:52.8018448Z   adding 'executorch/backends/arm/_passes/decompose_ne_pass.py'
2025-06-05T23:29:52.8018914Z   adding 'executorch/backends/arm/_passes/decompose_select.py'
2025-06-05T23:29:52.8019399Z   adding 'executorch/backends/arm/_passes/decompose_silu_pass.py'
2025-06-05T23:29:52.8019898Z   adding 'executorch/backends/arm/_passes/decompose_softmax_pass.py'
2025-06-05T23:29:52.8020623Z   adding 'executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py'
2025-06-05T23:29:52.8021260Z   adding 'executorch/backends/arm/_passes/decompose_sqrt_pass.py'
2025-06-05T23:29:52.8021763Z   adding 'executorch/backends/arm/_passes/decompose_sum_pass.py'
2025-06-05T23:29:52.8022332Z   adding 'executorch/backends/arm/_passes/decompose_var_pass.py'
2025-06-05T23:29:52.8022922Z   adding 'executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py'
2025-06-05T23:29:52.8023513Z   adding 'executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py'
2025-06-05T23:29:52.8024024Z   adding 'executorch/backends/arm/_passes/fuse_constant_ops_pass.py'
2025-06-05T23:29:52.8024575Z   adding 'executorch/backends/arm/_passes/fuse_equal_placeholders_pass.py'
2025-06-05T23:29:52.8025294Z   adding 'executorch/backends/arm/_passes/fuse_quantized_activation_pass.py'
2025-06-05T23:29:52.8025833Z   adding 'executorch/backends/arm/_passes/insert_rescales_pass.py'
2025-06-05T23:29:52.8026389Z   adding 'executorch/backends/arm/_passes/insert_table_ops.py'
2025-06-05T23:29:52.8026864Z   adding 'executorch/backends/arm/_passes/match_arg_ranks_pass.py'
2025-06-05T23:29:52.8027462Z   adding 'executorch/backends/arm/_passes/match_where_self_arg_dtype_pass.py'
2025-06-05T23:29:52.8028093Z   adding 'executorch/backends/arm/_passes/mm_to_bmm_pass.py'
2025-06-05T23:29:52.8028558Z   adding 'executorch/backends/arm/_passes/remove_clone_pass.py'
2025-06-05T23:29:52.8029278Z   adding 'executorch/backends/arm/_passes/replace_inf_values_pass.py'
2025-06-05T23:29:52.8029911Z   adding 'executorch/backends/arm/_passes/replace_scalar_with_tensor_pass.py'
2025-06-05T23:29:52.8030566Z   adding 'executorch/backends/arm/_passes/scalars_to_attribute_pass.py'
2025-06-05T23:29:52.8031181Z   adding 'executorch/backends/arm/_passes/size_adjust_conv2d_pass.py'
2025-06-05T23:29:52.8031736Z   adding 'executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py'
2025-06-05T23:29:52.8032326Z   adding 'executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py'
2025-06-05T23:29:52.8032931Z   adding 'executorch/backends/arm/operator_support/__init__.py'
2025-06-05T23:29:52.8033542Z   adding 'executorch/backends/arm/operator_support/convolution_support.py'
2025-06-05T23:29:52.8034124Z   adding 'executorch/backends/arm/operator_support/ethos_u55_support.py'
2025-06-05T23:29:52.8034665Z   adding 'executorch/backends/arm/operator_support/minmax_support.py'
2025-06-05T23:29:52.8035278Z   adding 'executorch/backends/arm/operator_support/pool_2d_support.py'
2025-06-05T23:29:52.8035852Z   adding 'executorch/backends/arm/operator_support/reduce_sum_support.py'
2025-06-05T23:29:52.8036561Z   adding 'executorch/backends/arm/operator_support/right_shift_support.py'
2025-06-05T23:29:52.8037136Z   adding 'executorch/backends/arm/operator_support/sin_cos_support.py'
2025-06-05T23:29:52.8037689Z   adding 'executorch/backends/arm/operator_support/slice_copy_support.py'
2025-06-05T23:29:52.8038257Z   adding 'executorch/backends/arm/operator_support/to_copy_support.py'
2025-06-05T23:29:52.8038840Z   adding 'executorch/backends/arm/operator_support/tosa_supported_operators.py'
2025-06-05T23:29:52.8039554Z   adding 'executorch/backends/arm/operators/__init__.py'
2025-06-05T23:29:52.8040001Z   adding 'executorch/backends/arm/operators/node_visitor.py'
2025-06-05T23:29:52.8040427Z   adding 'executorch/backends/arm/operators/op_abs.py'
2025-06-05T23:29:52.8040842Z   adding 'executorch/backends/arm/operators/op_add.py'
2025-06-05T23:29:52.8041247Z   adding 'executorch/backends/arm/operators/op_amax.py'
2025-06-05T23:29:52.8041802Z   adding 'executorch/backends/arm/operators/op_amin.py'
2025-06-05T23:29:52.8042206Z   adding 'executorch/backends/arm/operators/op_any.py'
2025-06-05T23:29:52.8042729Z   adding 'executorch/backends/arm/operators/op_avg_pool2d.py'
2025-06-05T23:29:52.8043170Z   adding 'executorch/backends/arm/operators/op_bmm.py'
2025-06-05T23:29:52.8043564Z   adding 'executorch/backends/arm/operators/op_cat.py'
2025-06-05T23:29:52.8044021Z   adding 'executorch/backends/arm/operators/op_clamp.py'
2025-06-05T23:29:52.8044581Z   adding 'executorch/backends/arm/operators/op_constant_pad_nd.py'
2025-06-05T23:29:52.8045140Z   adding 'executorch/backends/arm/operators/op_conv2d.py'
2025-06-05T23:29:52.8045549Z   adding 'executorch/backends/arm/operators/op_cos.py'
2025-06-05T23:29:52.8045955Z   adding 'executorch/backends/arm/operators/op_eq.py'
2025-06-05T23:29:52.8046345Z   adding 'executorch/backends/arm/operators/op_erf.py'
2025-06-05T23:29:52.8046794Z   adding 'executorch/backends/arm/operators/op_exp.py'
2025-06-05T23:29:52.8047293Z   adding 'executorch/backends/arm/operators/op_ge.py'
2025-06-05T23:29:52.8047674Z   adding 'executorch/backends/arm/operators/op_gt.py'
2025-06-05T23:29:52.8048068Z   adding 'executorch/backends/arm/operators/op_le.py'
2025-06-05T23:29:52.8048450Z   adding 'executorch/backends/arm/operators/op_log.py'
2025-06-05T23:29:52.8048846Z   adding 'executorch/backends/arm/operators/op_lt.py'
2025-06-05T23:29:52.8049333Z   adding 'executorch/backends/arm/operators/op_max_pool2d.py'
2025-06-05T23:29:52.8049929Z   adding 'executorch/backends/arm/operators/op_maximum.py'
2025-06-05T23:29:52.8050379Z   adding 'executorch/backends/arm/operators/op_minimum.py'
2025-06-05T23:29:52.8050790Z   adding 'executorch/backends/arm/operators/op_mul.py'
2025-06-05T23:29:52.8051193Z   adding 'executorch/backends/arm/operators/op_neg.py'
2025-06-05T23:29:52.8051612Z   adding 'executorch/backends/arm/operators/op_permute.py'
2025-06-05T23:29:52.8052099Z   adding 'executorch/backends/arm/operators/op_pow.py'
2025-06-05T23:29:52.8052613Z   adding 'executorch/backends/arm/operators/op_reciprocal.py'
2025-06-05T23:29:52.8053156Z   adding 'executorch/backends/arm/operators/op_repeat.py'
2025-06-05T23:29:52.8053600Z   adding 'executorch/backends/arm/operators/op_rescale.py'
2025-06-05T23:29:52.8054052Z   adding 'executorch/backends/arm/operators/op_rshift_tensor.py'
2025-06-05T23:29:52.8054514Z   adding 'executorch/backends/arm/operators/op_rsqrt.py'
2025-06-05T23:29:52.8054983Z   adding 'executorch/backends/arm/operators/op_sigmoid.py'
2025-06-05T23:29:52.8055498Z   adding 'executorch/backends/arm/operators/op_sin.py'
2025-06-05T23:29:52.8055901Z   adding 'executorch/backends/arm/operators/op_slice.py'
2025-06-05T23:29:52.8056313Z   adding 'executorch/backends/arm/operators/op_sub.py'
2025-06-05T23:29:52.8056708Z   adding 'executorch/backends/arm/operators/op_sum.py'
2025-06-05T23:29:52.8057172Z   adding 'executorch/backends/arm/operators/op_table.py'
2025-06-05T23:29:52.8057645Z   adding 'executorch/backends/arm/operators/op_tanh.py'
2025-06-05T23:29:52.8058186Z   adding 'executorch/backends/arm/operators/op_to_copy.py'
2025-06-05T23:29:52.8058682Z   adding 'executorch/backends/arm/operators/op_to_dim_order_copy.py'
2025-06-05T23:29:52.8059167Z   adding 'executorch/backends/arm/operators/op_transpose.py'
2025-06-05T23:29:52.8059678Z   adding 'executorch/backends/arm/operators/op_upsample_bilinear2d.py'
2025-06-05T23:29:52.8060218Z   adding 'executorch/backends/arm/operators/op_upsample_nearest2d.py'
2025-06-05T23:29:52.8060800Z   adding 'executorch/backends/arm/operators/op_view.py'
2025-06-05T23:29:52.8061272Z   adding 'executorch/backends/arm/operators/op_where.py'
2025-06-05T23:29:52.8061761Z   adding 'executorch/backends/arm/operators/operator_validation_utils.py'
2025-06-05T23:29:52.8062272Z   adding 'executorch/backends/arm/operators/ops_binary.py'
2025-06-05T23:29:52.8062710Z   adding 'executorch/backends/arm/operators/ops_identity.py'
2025-06-05T23:29:52.8063162Z   adding 'executorch/backends/arm/operators/ops_unary.py'
2025-06-05T23:29:52.8063622Z   adding 'executorch/backends/arm/quantizer/__init__.py'
2025-06-05T23:29:52.8064174Z   adding 'executorch/backends/arm/quantizer/arm_quantizer.py'
2025-06-05T23:29:52.8064672Z   adding 'executorch/backends/arm/quantizer/arm_quantizer_utils.py'
2025-06-05T23:29:52.8065198Z   adding 'executorch/backends/arm/quantizer/quantization_annotator.py'
2025-06-05T23:29:52.8065744Z   adding 'executorch/backends/arm/quantizer/quantization_config.py'
2025-06-05T23:29:52.8066332Z   adding 'executorch/backends/arm/scripts/parse_test_names.py'
2025-06-05T23:29:52.8066868Z   adding 'executorch/backends/arm/test/common.py'
2025-06-05T23:29:52.8067236Z   adding 'executorch/backends/arm/test/conftest.py'
2025-06-05T23:29:52.8067636Z   adding 'executorch/backends/arm/test/runner_utils.py'
2025-06-05T23:29:52.8068045Z   adding 'executorch/backends/arm/test/test_model.py'
2025-06-05T23:29:52.8068507Z   adding 'executorch/backends/arm/test/misc/test_bn_relu_folding_qat.py'
2025-06-05T23:29:52.8069208Z   adding 'executorch/backends/arm/test/misc/test_custom_partition.py'
2025-06-05T23:29:52.8069707Z   adding 'executorch/backends/arm/test/misc/test_debug_feats.py'
2025-06-05T23:29:52.8070209Z   adding 'executorch/backends/arm/test/misc/test_dim_order_guards.py'
2025-06-05T23:29:52.8070717Z   adding 'executorch/backends/arm/test/misc/test_lifted_tensor.py'
2025-06-05T23:29:52.8071278Z   adding 'executorch/backends/arm/test/misc/test_model_evaluator.py'
2025-06-05T23:29:52.8071964Z   adding 'executorch/backends/arm/test/misc/test_multiple_delegates.py'
2025-06-05T23:29:52.8072502Z   adding 'executorch/backends/arm/test/misc/test_multiple_outputs.py'
2025-06-05T23:29:52.8073066Z   adding 'executorch/backends/arm/test/misc/test_non_persistent_buffers.py'
2025-06-05T23:29:52.8073795Z   adding 'executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py'
2025-06-05T23:29:52.8356313Z   adding 'executorch/backends/arm/test/misc/test_tosa_spec.py'
2025-06-05T23:29:52.8357442Z   adding 'executorch/backends/arm/test/models/test_conformer.py'
2025-06-05T23:29:52.8358444Z   adding 'executorch/backends/arm/test/models/test_deit_tiny_arm.py'
2025-06-05T23:29:52.8359016Z   adding 'executorch/backends/arm/test/models/test_dl3_arm.py'
2025-06-05T23:29:52.8359473Z   adding 'executorch/backends/arm/test/models/test_llama.py'
2025-06-05T23:29:52.8360086Z   adding 'executorch/backends/arm/test/models/test_lstm_arm.py'
2025-06-05T23:29:52.8360612Z   adding 'executorch/backends/arm/test/models/test_mobilenet_v2_arm.py'
2025-06-05T23:29:52.8361154Z   adding 'executorch/backends/arm/test/models/test_mobilenet_v3_arm.py'
2025-06-05T23:29:52.8361699Z   adding 'executorch/backends/arm/test/models/test_nn_functional.py'
2025-06-05T23:29:52.8362204Z   adding 'executorch/backends/arm/test/models/test_nn_modules.py'
2025-06-05T23:29:52.8362724Z   adding 'executorch/backends/arm/test/models/test_torch_functions.py'
2025-06-05T23:29:52.8363326Z   adding 'executorch/backends/arm/test/models/test_w2l_arm.py'
2025-06-05T23:29:52.8363772Z   adding 'executorch/backends/arm/test/ops/test_abs.py'
2025-06-05T23:29:52.8364184Z   adding 'executorch/backends/arm/test/ops/test_add.py'
2025-06-05T23:29:52.8364608Z   adding 'executorch/backends/arm/test/ops/test_alias_copy.py'
2025-06-05T23:29:52.8365060Z   adding 'executorch/backends/arm/test/ops/test_amax.py'
2025-06-05T23:29:52.8365471Z   adding 'executorch/backends/arm/test/ops/test_amin.py'
2025-06-05T23:29:52.8365889Z   adding 'executorch/backends/arm/test/ops/test_any.py'
2025-06-05T23:29:52.8366299Z   adding 'executorch/backends/arm/test/ops/test_arange.py'
2025-06-05T23:29:52.8366725Z   adding 'executorch/backends/arm/test/ops/test_at.py'
2025-06-05T23:29:52.8367164Z   adding 'executorch/backends/arm/test/ops/test_avg_pool2d.py'
2025-06-05T23:29:52.8367621Z   adding 'executorch/backends/arm/test/ops/test_batch_norm.py'
2025-06-05T23:29:52.8368185Z   adding 'executorch/backends/arm/test/ops/test_bitwise.py'
2025-06-05T23:29:52.8368612Z   adding 'executorch/backends/arm/test/ops/test_bmm.py'
2025-06-05T23:29:52.8369021Z   adding 'executorch/backends/arm/test/ops/test_cat.py'
2025-06-05T23:29:52.8369430Z   adding 'executorch/backends/arm/test/ops/test_clamp.py'
2025-06-05T23:29:52.8369864Z   adding 'executorch/backends/arm/test/ops/test_clone.py'
2025-06-05T23:29:52.8370329Z   adding 'executorch/backends/arm/test/ops/test_constant_pad_nd.py'
2025-06-05T23:29:52.8370814Z   adding 'executorch/backends/arm/test/ops/test_conv1d.py'
2025-06-05T23:29:52.8371371Z   adding 'executorch/backends/arm/test/ops/test_conv2d.py'
2025-06-05T23:29:52.8371798Z   adding 'executorch/backends/arm/test/ops/test_conv3d.py'
2025-06-05T23:29:52.8372366Z   adding 'executorch/backends/arm/test/ops/test_conv_combos.py'
2025-06-05T23:29:52.8372881Z   adding 'executorch/backends/arm/test/ops/test_conv_constant_pad_nd.py'
2025-06-05T23:29:52.8373487Z   adding 'executorch/backends/arm/test/ops/test_cos.py'
2025-06-05T23:29:52.8374003Z   adding 'executorch/backends/arm/test/ops/test_depthwise_conv.py'
2025-06-05T23:29:52.8374474Z   adding 'executorch/backends/arm/test/ops/test_div.py'
2025-06-05T23:29:52.8374881Z   adding 'executorch/backends/arm/test/ops/test_eq.py'
2025-06-05T23:29:52.8375274Z   adding 'executorch/backends/arm/test/ops/test_erf.py'
2025-06-05T23:29:52.8375682Z   adding 'executorch/backends/arm/test/ops/test_exp.py'
2025-06-05T23:29:52.8376201Z   adding 'executorch/backends/arm/test/ops/test_expand.py'
2025-06-05T23:29:52.8376643Z   adding 'executorch/backends/arm/test/ops/test_eye.py'
2025-06-05T23:29:52.8377120Z   adding 'executorch/backends/arm/test/ops/test_full.py'
2025-06-05T23:29:52.8377533Z   adding 'executorch/backends/arm/test/ops/test_ge.py'
2025-06-05T23:29:52.8378026Z   adding 'executorch/backends/arm/test/ops/test_gelu.py'
2025-06-05T23:29:52.8378457Z   adding 'executorch/backends/arm/test/ops/test_group_norm.py'
2025-06-05T23:29:52.8378893Z   adding 'executorch/backends/arm/test/ops/test_gt.py'
2025-06-05T23:29:52.8379366Z   adding 'executorch/backends/arm/test/ops/test_hardsigmoid.py'
2025-06-05T23:29:52.8379841Z   adding 'executorch/backends/arm/test/ops/test_hardswish.py'
2025-06-05T23:29:52.8380404Z   adding 'executorch/backends/arm/test/ops/test_hardtanh.py'
2025-06-05T23:29:52.8380930Z   adding 'executorch/backends/arm/test/ops/test_layer_norm.py'
2025-06-05T23:29:52.8392709Z   adding 'executorch/backends/arm/test/ops/test_le.py'
2025-06-05T23:29:52.8393581Z   adding 'executorch/backends/arm/test/ops/test_leaky_relu.py'
2025-06-05T23:29:52.8394146Z   adding 'executorch/backends/arm/test/ops/test_linalg_vector_norm.py'
2025-06-05T23:29:52.8394620Z   adding 'executorch/backends/arm/test/ops/test_linear.py'
2025-06-05T23:29:52.8395032Z   adding 'executorch/backends/arm/test/ops/test_log.py'
2025-06-05T23:29:52.8395448Z   adding 'executorch/backends/arm/test/ops/test_logical.py'
2025-06-05T23:29:52.8396023Z   adding 'executorch/backends/arm/test/ops/test_logsoftmax.py'
2025-06-05T23:29:52.8396566Z   adding 'executorch/backends/arm/test/ops/test_lshift.py'
2025-06-05T23:29:52.8397004Z   adding 'executorch/backends/arm/test/ops/test_lt.py'
2025-06-05T23:29:52.8397429Z   adding 'executorch/backends/arm/test/ops/test_matmul.py'
2025-06-05T23:29:52.8397870Z   adding 'executorch/backends/arm/test/ops/test_max_pool.py'
2025-06-05T23:29:52.8398408Z   adding 'executorch/backends/arm/test/ops/test_maximum.py'
2025-06-05T23:29:52.8398845Z   adding 'executorch/backends/arm/test/ops/test_mean_dim.py'
2025-06-05T23:29:52.8399296Z   adding 'executorch/backends/arm/test/ops/test_minimum.py'
2025-06-05T23:29:52.8399713Z   adding 'executorch/backends/arm/test/ops/test_mm.py'
2025-06-05T23:29:52.8400194Z   adding 'executorch/backends/arm/test/ops/test_mul.py'
2025-06-05T23:29:52.8400647Z   adding 'executorch/backends/arm/test/ops/test_ne.py'
2025-06-05T23:29:52.8401042Z   adding 'executorch/backends/arm/test/ops/test_neg.py'
2025-06-05T23:29:52.8401461Z   adding 'executorch/backends/arm/test/ops/test_ones.py'
2025-06-05T23:29:52.8401888Z   adding 'executorch/backends/arm/test/ops/test_permute.py'
2025-06-05T23:29:52.8402323Z   adding 'executorch/backends/arm/test/ops/test_pow.py'
2025-06-05T23:29:52.8402842Z   adding 'executorch/backends/arm/test/ops/test_reciprocal.py'
2025-06-05T23:29:52.8403296Z   adding 'executorch/backends/arm/test/ops/test_relu.py'
2025-06-05T23:29:52.8403709Z   adding 'executorch/backends/arm/test/ops/test_repeat.py'
2025-06-05T23:29:52.8404146Z   adding 'executorch/backends/arm/test/ops/test_rshift.py'
2025-06-05T23:29:52.8404581Z   adding 'executorch/backends/arm/test/ops/test_rsqrt.py'
2025-06-05T23:29:52.8405053Z   adding 'executorch/backends/arm/test/ops/test_scalar_tensor.py'
2025-06-05T23:29:52.8405726Z   adding 'executorch/backends/arm/test/ops/test_scalars.py'
2025-06-05T23:29:52.8406150Z   adding 'executorch/backends/arm/test/ops/test_sdpa.py'
2025-06-05T23:29:52.8406580Z   adding 'executorch/backends/arm/test/ops/test_select.py'
2025-06-05T23:29:52.8407009Z   adding 'executorch/backends/arm/test/ops/test_sigmoid.py'
2025-06-05T23:29:52.8407601Z   adding 'executorch/backends/arm/test/ops/test_sigmoid_16bit.py'
2025-06-05T23:29:52.8408101Z   adding 'executorch/backends/arm/test/ops/test_sigmoid_32bit.py'
2025-06-05T23:29:52.8408545Z   adding 'executorch/backends/arm/test/ops/test_silu.py'
2025-06-05T23:29:52.8408961Z   adding 'executorch/backends/arm/test/ops/test_sin.py'
2025-06-05T23:29:52.8409367Z   adding 'executorch/backends/arm/test/ops/test_slice.py'
2025-06-05T23:29:52.8409812Z   adding 'executorch/backends/arm/test/ops/test_softmax.py'
2025-06-05T23:29:52.8410360Z   adding 'executorch/backends/arm/test/ops/test_split.py'
2025-06-05T23:29:52.8410791Z   adding 'executorch/backends/arm/test/ops/test_sqrt.py'
2025-06-05T23:29:52.8411230Z   adding 'executorch/backends/arm/test/ops/test_squeeze.py'
2025-06-05T23:29:52.8411645Z   adding 'executorch/backends/arm/test/ops/test_sub.py'
2025-06-05T23:29:52.8412054Z   adding 'executorch/backends/arm/test/ops/test_sum.py'
2025-06-05T23:29:52.8412573Z   adding 'executorch/backends/arm/test/ops/test_tanh.py'
2025-06-05T23:29:52.8413133Z   adding 'executorch/backends/arm/test/ops/test_to_copy.py'
2025-06-05T23:29:52.8413561Z   adding 'executorch/backends/arm/test/ops/test_unary.py'
2025-06-05T23:29:52.8414011Z   adding 'executorch/backends/arm/test/ops/test_unsqueeze.py'
2025-06-05T23:29:52.8414514Z   adding 'executorch/backends/arm/test/ops/test_upsample_bilinear2d.py'
2025-06-05T23:29:52.8415153Z   adding 'executorch/backends/arm/test/ops/test_upsample_nearest2d.py'
2025-06-05T23:29:52.8415648Z   adding 'executorch/backends/arm/test/ops/test_var.py'
2025-06-05T23:29:52.8416051Z   adding 'executorch/backends/arm/test/ops/test_view.py'
2025-06-05T23:29:52.8416475Z   adding 'executorch/backends/arm/test/ops/test_where.py'
2025-06-05T23:29:52.8416890Z   adding 'executorch/backends/arm/test/ops/test_zeros.py'
2025-06-05T23:29:52.8417507Z   adding 'executorch/backends/arm/test/passes/test_broadcast_args_pass.py'
2025-06-05T23:29:52.8418242Z   adding 'executorch/backends/arm/test/passes/test_cast_int64_pass.py'
2025-06-05T23:29:52.8418860Z   adding 'executorch/backends/arm/test/passes/test_convert_expand_copy_to_repeat.py'
2025-06-05T23:29:52.8419608Z   adding 'executorch/backends/arm/test/passes/test_convert_int_pow_to_muls.py'
2025-06-05T23:29:52.8420214Z   adding 'executorch/backends/arm/test/passes/test_convert_split_to_slice.py'
2025-06-05T23:29:52.8420798Z   adding 'executorch/backends/arm/test/passes/test_convert_to_clamp.py'
2025-06-05T23:29:52.8421530Z   adding 'executorch/backends/arm/test/passes/test_decompose_cosine_similarity_pass.py'
2025-06-05T23:29:52.8422183Z   adding 'executorch/backends/arm/test/passes/test_decompose_div_pass.py'
2025-06-05T23:29:52.8422789Z   adding 'executorch/backends/arm/test/passes/test_decompose_layernorm_pass.py'
2025-06-05T23:29:52.8423448Z   adding 'executorch/backends/arm/test/passes/test_decompose_linalg_vector_norm_pass.py'
2025-06-05T23:29:52.8424206Z   adding 'executorch/backends/arm/test/passes/test_decompose_meandim_pass.py'
2025-06-05T23:29:52.8424804Z   adding 'executorch/backends/arm/test/passes/test_decompose_softmax_pass.py'
2025-06-05T23:29:52.8425396Z   adding 'executorch/backends/arm/test/passes/test_decompose_var_pass.py'
2025-06-05T23:29:52.8425939Z   adding 'executorch/backends/arm/test/passes/test_fold_qdq_pass.py'
2025-06-05T23:29:52.8426662Z   adding 'executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py'
2025-06-05T23:29:52.8427267Z   adding 'executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py'
2025-06-05T23:29:52.8427914Z   adding 'executorch/backends/arm/test/passes/test_fuse_equal_placeholders_ops_pass.py'
2025-06-05T23:29:52.8428900Z   adding 'executorch/backends/arm/test/passes/test_insert_table_ops_pass.py'
2025-06-05T23:29:52.8429618Z   adding 'executorch/backends/arm/test/passes/test_ioquantization_pass.py'
2025-06-05T23:29:52.8430198Z   adding 'executorch/backends/arm/test/passes/test_remove_clone_pass.py'
2025-06-05T23:29:52.8430735Z   adding 'executorch/backends/arm/test/passes/test_rescale_pass.py'
2025-06-05T23:29:52.8431335Z   adding 'executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py'
2025-06-05T23:29:52.8431980Z   adding 'executorch/backends/arm/test/quantizer/test_generic_annotater.py'
2025-06-05T23:29:52.8432537Z   adding 'executorch/backends/arm/test/tester/__init__.py'
2025-06-05T23:29:52.8433073Z   adding 'executorch/backends/arm/test/tester/analyze_output_utils.py'
2025-06-05T23:29:52.8433563Z   adding 'executorch/backends/arm/test/tester/arm_tester.py'
2025-06-05T23:29:52.8434129Z   adding 'executorch/backends/arm/test/tester/test_pipeline.py'
2025-06-05T23:29:52.8544687Z   adding 'executorch/backends/arm/test/tosautil/__init__.py'
2025-06-05T23:29:52.8545498Z   adding 'executorch/backends/arm/third-party/serialization_lib/setup.py'
2025-06-05T23:29:52.8546284Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py'
2025-06-05T23:29:52.8547211Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py'
2025-06-05T23:29:52.8548337Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py'
2025-06-05T23:29:52.8549176Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py'
2025-06-05T23:29:52.8550025Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py'
2025-06-05T23:29:52.8550793Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py'
2025-06-05T23:29:52.8551578Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py'
2025-06-05T23:29:52.8552339Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py'
2025-06-05T23:29:52.8553212Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py'
2025-06-05T23:29:52.8554060Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py'
2025-06-05T23:29:52.8554784Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py'
2025-06-05T23:29:52.8555583Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py'
2025-06-05T23:29:52.8556588Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py'
2025-06-05T23:29:52.8557351Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py'
2025-06-05T23:29:52.8558107Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py'
2025-06-05T23:29:52.8558828Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py'
2025-06-05T23:29:52.8559671Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py'
2025-06-05T23:29:52.8560429Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py'
2025-06-05T23:29:52.8561297Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py'
2025-06-05T23:29:52.8562062Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py'
2025-06-05T23:29:52.8562856Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py'
2025-06-05T23:29:52.8563687Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py'
2025-06-05T23:29:52.8564467Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py'
2025-06-05T23:29:52.8565230Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py'
2025-06-05T23:29:52.8566152Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py'
2025-06-05T23:29:52.8566913Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py'
2025-06-05T23:29:52.8567757Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py'
2025-06-05T23:29:52.8568503Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py'
2025-06-05T23:29:52.8569237Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py'
2025-06-05T23:29:52.8570070Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py'
2025-06-05T23:29:52.8570797Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py'
2025-06-05T23:29:52.8571624Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py'
2025-06-05T23:29:52.8572567Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py'
2025-06-05T23:29:52.8573417Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py'
2025-06-05T23:29:52.8574188Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py'
2025-06-05T23:29:52.8575115Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py'
2025-06-05T23:29:52.8575804Z   adding 'executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs'
2025-06-05T23:29:52.8576517Z   adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py'
2025-06-05T23:29:52.8577380Z   adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py'
2025-06-05T23:29:52.8578173Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conanfile.py'
2025-06-05T23:29:52.8579114Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/pnpm-lock.yaml'
2025-06-05T23:29:52.8580053Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs/animal.fbs'
2025-06-05T23:29:52.8581152Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers/bench.fbs'
2025-06-05T23:29:52.8582086Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/build.py'
2025-06-05T23:29:52.8583016Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package/conanfile.py'
2025-06-05T23:29:52.8583997Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/analysis_options.yaml'
2025-06-05T23:29:52.8584904Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/pubspec.yaml'
2025-06-05T23:29:52.8585824Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/bool_structs.fbs'
2025-06-05T23:29:52.8586788Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/list_of_enums.fbs'
2025-06-05T23:29:52.8587726Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/monster_test.fbs'
2025-06-05T23:29:52.8588664Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/hero.fbs'
2025-06-05T23:29:52.8589582Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/net.fbs'
2025-06-05T23:29:52.8590527Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/generate_goldens.py'
2025-06-05T23:29:52.8591467Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/golden_utils.py'
2025-06-05T23:29:52.8592532Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp/generate.py'
2025-06-05T23:29:52.8593479Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp/generate.py'
2025-06-05T23:29:52.8594405Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart/generate.py'
2025-06-05T23:29:52.8595334Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go/generate.py'
2025-06-05T23:29:52.8596260Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java/generate.py'
2025-06-05T23:29:52.8597278Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin/generate.py'
2025-06-05T23:29:52.8598231Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster/generate.py'
2025-06-05T23:29:52.8599332Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua/generate.py'
2025-06-05T23:29:52.8600263Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim/generate.py'
2025-06-05T23:29:52.8601234Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php/generate.py'
2025-06-05T23:29:52.8602231Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Galaxy.py'
2025-06-05T23:29:52.8603151Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Universe.py'
2025-06-05T23:29:52.8604165Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/__init__.py'
2025-06-05T23:29:52.8605079Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/generate.py'
2025-06-05T23:29:52.8606014Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust/generate.py'
2025-06-05T23:29:52.8607007Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema/basic.fbs'
2025-06-05T23:29:52.8607940Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift/generate.py'
2025-06-05T23:29:52.8609018Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts/generate.py'
2025-06-05T23:29:52.8609940Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/greeter.fbs'
2025-06-05T23:29:52.8611038Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/client.py'
2025-06-05T23:29:52.8612100Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/server.py'
2025-06-05T23:29:52.8613423Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloReply.py'
2025-06-05T23:29:52.8707635Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloRequest.py'
2025-06-05T23:29:52.8709159Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/__init__.py'
2025-06-05T23:29:52.8710463Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/greeter_grpc_fb.py'
2025-06-05T23:29:52.8711652Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter/greeter.fbs'
2025-06-05T23:29:52.8712610Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests/grpctest.py'
2025-06-05T23:29:52.8713655Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/InParentNamespace.py'
2025-06-05T23:29:52.8714964Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/MonsterExtra.py'
2025-06-05T23:29:52.8716128Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/__init__.py'
2025-06-05T23:29:52.8717235Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Ability.py'
2025-06-05T23:29:52.8718343Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Any.py'
2025-06-05T23:29:52.8719532Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyAmbiguousAliases.py'
2025-06-05T23:29:52.8720805Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyUniqueAliases.py'
2025-06-05T23:29:52.8722062Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayStruct.py'
2025-06-05T23:29:52.8723482Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayTable.py'
2025-06-05T23:29:52.8724632Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Color.py'
2025-06-05T23:29:52.8725874Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/LongEnum.py'
2025-06-05T23:29:52.8727201Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Monster.py'
2025-06-05T23:29:52.8728434Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedStruct.py'
2025-06-05T23:29:52.8729805Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Race.py'
2025-06-05T23:29:52.8730944Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Referrable.py'
2025-06-05T23:29:52.8732289Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Stat.py'
2025-06-05T23:29:52.8733598Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructs.py'
2025-06-05T23:29:52.8734990Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructsOfStructs.py'
2025-06-05T23:29:52.8736346Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Test.py'
2025-06-05T23:29:52.8737761Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestEnum.py'
2025-06-05T23:29:52.8739176Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestSimpleTableWithEnum.py'
2025-06-05T23:29:52.8740525Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TypeAliases.py'
2025-06-05T23:29:52.8741799Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Vec3.py'
2025-06-05T23:29:52.8742992Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/__init__.py'
2025-06-05T23:29:52.8744334Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/monster_test_grpc_fb.py'
2025-06-05T23:29:52.8745637Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Any.py'
2025-06-05T23:29:52.8747124Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Color.py'
2025-06-05T23:29:52.8748658Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/NestedUnionTest.py'
2025-06-05T23:29:52.8749946Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Test.py'
2025-06-05T23:29:52.8751509Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py'
2025-06-05T23:29:52.8752904Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Vec3.py'
2025-06-05T23:29:52.8754388Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/__init__.py'
2025-06-05T23:29:52.8755649Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/Monster.py'
2025-06-05T23:29:52.8756956Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/__init__.py'
2025-06-05T23:29:52.8758388Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/SecondTableInA.py'
2025-06-05T23:29:52.8759529Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInC.py'
2025-06-05T23:29:52.8760857Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInFirstNS.py'
2025-06-05T23:29:52.8762071Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/__init__.py'
2025-06-05T23:29:52.8763490Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/EnumInNestedNS.py'
2025-06-05T23:29:52.8765053Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/StructInNestedNS.py'
2025-06-05T23:29:52.8766378Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/TableInNestedNS.py'
2025-06-05T23:29:52.8767903Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/UnionInNestedNS.py'
2025-06-05T23:29:52.8769155Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/__init__.py'
2025-06-05T23:29:52.8770535Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/TableInC.py'
2025-06-05T23:29:52.8771626Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/__init__.py'
2025-06-05T23:29:52.8773060Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/OptionalByte.py'
2025-06-05T23:29:52.8774268Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/ScalarStuff.py'
2025-06-05T23:29:52.8775639Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/__init__.py'
2025-06-05T23:29:52.8776796Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector/union_vector.fbs'
2025-06-05T23:29:52.8778034Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/__init__.py'
2025-06-05T23:29:52.8778952Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/py.typed'
2025-06-05T23:29:52.8779813Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/setup.py'
2025-06-05T23:29:52.8780729Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/__init__.py'
2025-06-05T23:29:52.8781938Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/_version.py'
2025-06-05T23:29:52.8782931Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/builder.py'
2025-06-05T23:29:52.8915687Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/compat.py'
2025-06-05T23:29:52.8916868Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/encode.py'
2025-06-05T23:29:52.8917919Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/flexbuffers.py'
2025-06-05T23:29:52.8918942Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/number_types.py'
2025-06-05T23:29:52.8919949Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/packer.py'
2025-06-05T23:29:52.8920973Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/table.py'
2025-06-05T23:29:52.8921918Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/util.py'
2025-06-05T23:29:52.8922999Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/AdvancedFeatures.py'
2025-06-05T23:29:52.8924154Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/BaseType.py'
2025-06-05T23:29:52.8925244Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Enum.py'
2025-06-05T23:29:52.8926321Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/EnumVal.py'
2025-06-05T23:29:52.8927517Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Field.py'
2025-06-05T23:29:52.8929067Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/KeyValue.py'
2025-06-05T23:29:52.8929553Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Object.py'
2025-06-05T23:29:52.8930056Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/RPCCall.py'
2025-06-05T23:29:52.8930546Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Schema.py'
2025-06-05T23:29:52.8931054Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/SchemaFile.py'
2025-06-05T23:29:52.8931556Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Service.py'
2025-06-05T23:29:52.8932026Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Type.py'
2025-06-05T23:29:52.8932516Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/__init__.py'
2025-06-05T23:29:52.8933121Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/reflection/reflection.fbs'
2025-06-05T23:29:52.8933604Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/monster.fbs'
2025-06-05T23:29:52.8934157Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/sample_binary.py'
2025-06-05T23:29:52.8934742Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check-grpc-generated-code.py'
2025-06-05T23:29:52.8935306Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check_generate_code.py'
2025-06-05T23:29:52.8935759Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_code.py'
2025-06-05T23:29:52.8936286Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_grpc_examples.py'
2025-06-05T23:29:52.8936652Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/util.py'
2025-06-05T23:29:52.8937178Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap/snapcraft.yaml'
2025-06-05T23:29:52.8937578Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MutatingBool.fbs'
2025-06-05T23:29:52.8938043Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/alignment_test.fbs'
2025-06-05T23:29:52.8938478Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/arrays_test.fbs'
2025-06-05T23:29:52.8938958Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/dictionary_lookup.fbs'
2025-06-05T23:29:52.8939418Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/included_test.fbs'
2025-06-05T23:29:52.8939943Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/includer_test.fbs'
2025-06-05T23:29:52.8940394Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/keyword_test.fbs'
2025-06-05T23:29:52.8940863Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_extra.fbs'
2025-06-05T23:29:52.8941257Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test.fbs'
2025-06-05T23:29:52.8941806Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test_generated.py'
2025-06-05T23:29:52.8942283Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/more_defaults.fbs'
2025-06-05T23:29:52.8942714Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nan_inf_test.fbs'
2025-06-05T23:29:52.8943224Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_inline_table_test.fbs'
2025-06-05T23:29:52.8943647Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_type_test.fbs'
2025-06-05T23:29:52.8944129Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_union_test.fbs'
2025-06-05T23:29:52.8944553Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars.fbs'
2025-06-05T23:29:52.8945059Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/private_annotation_test.fbs'
2025-06-05T23:29:52.8945545Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_flexbuffers_test.py'
2025-06-05T23:29:52.8945918Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_test.py'
2025-06-05T23:29:52.8946405Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/required_strings.fbs'
2025-06-05T23:29:52.8946874Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/rust_namer_test.fbs'
2025-06-05T23:29:52.8947308Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/test.fbs'
2025-06-05T23:29:52.8947809Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/type_field_collsion.fbs'
2025-06-05T23:29:52.8948276Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_underlying_type_test.fbs'
2025-06-05T23:29:52.8948773Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_value_collision.fbs'
2025-06-05T23:29:52.8949232Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/vector_has_test.fbs'
2025-06-05T23:29:52.8949645Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/test_64bit.fbs'
2025-06-05T23:29:52.8950125Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v1.fbs'
2025-06-05T23:29:52.8950591Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v2.fbs'
2025-06-05T23:29:52.8951113Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/InParentNamespace.py'
2025-06-05T23:29:52.8951686Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/MonsterExtra.py'
2025-06-05T23:29:52.8952139Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/__init__.py'
2025-06-05T23:29:52.8952639Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Ability.py'
2025-06-05T23:29:52.8953143Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Any.py'
2025-06-05T23:29:52.8953665Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyAmbiguousAliases.py'
2025-06-05T23:29:52.8954220Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyUniqueAliases.py'
2025-06-05T23:29:52.8954842Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayStruct.py'
2025-06-05T23:29:52.8955351Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayTable.py'
2025-06-05T23:29:52.8955781Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Color.py'
2025-06-05T23:29:52.9065833Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/LongEnum.py'
2025-06-05T23:29:52.9066310Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Monster.py'
2025-06-05T23:29:52.9066788Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedStruct.py'
2025-06-05T23:29:52.9067213Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Race.py'
2025-06-05T23:29:52.9067795Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Referrable.py'
2025-06-05T23:29:52.9068276Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Stat.py'
2025-06-05T23:29:52.9068883Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructs.py'
2025-06-05T23:29:52.9069437Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructsOfStructs.py'
2025-06-05T23:29:52.9069887Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Test.py'
2025-06-05T23:29:52.9070469Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestEnum.py'
2025-06-05T23:29:52.9071066Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestSimpleTableWithEnum.py'
2025-06-05T23:29:52.9071651Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TypeAliases.py'
2025-06-05T23:29:52.9072097Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Vec3.py'
2025-06-05T23:29:52.9072622Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/__init__.py'
2025-06-05T23:29:52.9073178Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/monster_test_grpc_fb.py'
2025-06-05T23:29:52.9073660Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Any.py'
2025-06-05T23:29:52.9074225Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Color.py'
2025-06-05T23:29:52.9074889Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/NestedUnionTest.py'
2025-06-05T23:29:52.9075402Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Test.py'
2025-06-05T23:29:52.9076074Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py'
2025-06-05T23:29:52.9076688Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Vec3.py'
2025-06-05T23:29:52.9077204Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/__init__.py'
2025-06-05T23:29:52.9077671Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/Monster.py'
2025-06-05T23:29:52.9078120Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/__init__.py'
2025-06-05T23:29:52.9078867Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary.fbs'
2025-06-05T23:29:52.9079407Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary_old.fbs'
2025-06-05T23:29:52.9079923Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/generate_annotations.py'
2025-06-05T23:29:52.9080385Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v1.fbs'
2025-06-05T23:29:52.9080865Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v2.fbs'
2025-06-05T23:29:52.9081327Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/enum_val_attributes.fbs'
2025-06-05T23:29:52.9081757Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_cpp_tests.py'
2025-06-05T23:29:52.9082220Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_kotlin_tests.py'
2025-06-05T23:29:52.9082682Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_schema_tests.py'
2025-06-05T23:29:52.9083110Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_test.py'
2025-06-05T23:29:52.9083634Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_ts_tests.py'
2025-06-05T23:29:52.9084021Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo.fbs'
2025-06-05T23:29:52.9084481Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo_with_ns.fbs'
2025-06-05T23:29:52.9084863Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/main.py'
2025-06-05T23:29:52.9085262Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar.fbs'
2025-06-05T23:29:52.9085892Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_foo.fbs'
2025-06-05T23:29:52.9086345Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_ns.fbs'
2025-06-05T23:29:52.9086759Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz.fbs'
2025-06-05T23:29:52.9087248Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz_with_ns.fbs'
2025-06-05T23:29:52.9087742Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/include_test1.fbs'
2025-06-05T23:29:52.9088241Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/order.fbs'
2025-06-05T23:29:52.9088776Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/include_test2.fbs'
2025-06-05T23:29:52.9089264Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/no_namespace.fbs'
2025-06-05T23:29:52.9089723Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field/key_field_sample.fbs'
2025-06-05T23:29:52.9090198Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums/enums.fbs'
2025-06-05T23:29:52.9090786Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test1.fbs'
2025-06-05T23:29:52.9091259Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test2.fbs'
2025-06-05T23:29:52.9091748Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test1.fbs'
2025-06-05T23:29:52.9092323Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test2.fbs'
2025-06-05T23:29:52.9092807Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test1.fbs'
2025-06-05T23:29:52.9093367Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test2.fbs'
2025-06-05T23:29:52.9093915Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/SecondTableInA.py'
2025-06-05T23:29:52.9094442Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInC.py'
2025-06-05T23:29:52.9094987Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInFirstNS.py'
2025-06-05T23:29:52.9095500Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/__init__.py'
2025-06-05T23:29:52.9096081Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/EnumInNestedNS.py'
2025-06-05T23:29:52.9096688Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/StructInNestedNS.py'
2025-06-05T23:29:52.9097274Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/TableInNestedNS.py'
2025-06-05T23:29:52.9097894Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/UnionInNestedNS.py'
2025-06-05T23:29:52.9098509Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/__init__.py'
2025-06-05T23:29:52.9404457Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/TableInC.py'
2025-06-05T23:29:52.9405203Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/__init__.py'
2025-06-05T23:29:52.9406006Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test1.fbs'
2025-06-05T23:29:52.9406840Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test2.fbs'
2025-06-05T23:29:52.9407444Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test3.fbs'
2025-06-05T23:29:52.9407950Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim/testnim.py'
2025-06-05T23:29:52.9408515Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/OptionalByte.py'
2025-06-05T23:29:52.9409042Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/ScalarStuff.py'
2025-06-05T23:29:52.9409545Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/__init__.py'
2025-06-05T23:29:52.9410117Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test.golden.fbs'
2025-06-05T23:29:52.9410591Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_id.golden.fbs'
2025-06-05T23:29:52.9411132Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include.golden.fbs'
2025-06-05T23:29:52.9411685Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include_id.golden.fbs'
2025-06-05T23:29:52.9412262Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix.golden.fbs'
2025-06-05T23:29:52.9412800Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix_id.golden.fbs'
2025-06-05T23:29:52.9413398Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union.golden.fbs'
2025-06-05T23:29:52.9413900Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_id.golden.fbs'
2025-06-05T23:29:52.9414420Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include.golden.fbs'
2025-06-05T23:29:52.9415103Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include_id.golden.fbs'
2025-06-05T23:29:52.9415677Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix.golden.fbs'
2025-06-05T23:29:52.9416247Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix_id.golden.fbs'
2025-06-05T23:29:52.9416849Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_import.fbs'
2025-06-05T23:29:52.9417536Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_no_include.fbs'
2025-06-05T23:29:52.9418208Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers/fuzzer.fbs'
2025-06-05T23:29:52.9418631Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/TypeScriptTest.py'
2025-06-05T23:29:52.9419135Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/typescript_keywords.fbs'
2025-06-05T23:29:52.9419777Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex/arrays_test_complex.fbs'
2025-06-05T23:29:52.9420295Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/one.fbs'
2025-06-05T23:29:52.9420917Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/pnpm-lock.yaml'
2025-06-05T23:29:52.9421630Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/two.fbs'
2025-06-05T23:29:52.9422157Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_include.fbs'
2025-06-05T23:29:52.9422794Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_transitive_include.fbs'
2025-06-05T23:29:52.9423492Z   adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector/union_vector.fbs'
2025-06-05T23:29:52.9423674Z   adding 'executorch/backends/arm/tosa/schemas/tosa_0.80.fbs'
2025-06-05T23:29:52.9423854Z   adding 'executorch/backends/arm/tosa/schemas/tosa_1.0.fbs'
2025-06-05T23:29:52.9424075Z   adding 'executorch/backends/arm/util/arm_model_evaluator.py'
2025-06-05T23:29:52.9424225Z   adding 'executorch/backends/cadence/aot/__init__.py'
2025-06-05T23:29:52.9424385Z   adding 'executorch/backends/cadence/aot/compiler.py'
2025-06-05T23:29:52.9424556Z   adding 'executorch/backends/cadence/aot/compiler_utils.py'
2025-06-05T23:29:52.9424802Z   adding 'executorch/backends/cadence/aot/decompose_ops.py'
2025-06-05T23:29:52.9425053Z   adding 'executorch/backends/cadence/aot/export_example.py'
2025-06-05T23:29:52.9425324Z   adding 'executorch/backends/cadence/aot/functions.yaml'
2025-06-05T23:29:52.9425533Z   adding 'executorch/backends/cadence/aot/functions_fusion_g3.yaml'
2025-06-05T23:29:52.9425709Z   adding 'executorch/backends/cadence/aot/functions_hifi.yaml'
2025-06-05T23:29:52.9425880Z   adding 'executorch/backends/cadence/aot/fuse_ops.py'
2025-06-05T23:29:52.9426080Z   adding 'executorch/backends/cadence/aot/graph_builder.py'
2025-06-05T23:29:52.9426291Z   adding 'executorch/backends/cadence/aot/memory_constraints.py'
2025-06-05T23:29:52.9426564Z   adding 'executorch/backends/cadence/aot/memory_planning.py'
2025-06-05T23:29:52.9426827Z   adding 'executorch/backends/cadence/aot/ops_registrations.py'
2025-06-05T23:29:52.9427030Z   adding 'executorch/backends/cadence/aot/pass_utils.py'
2025-06-05T23:29:52.9427170Z   adding 'executorch/backends/cadence/aot/passes.py'
2025-06-05T23:29:52.9427381Z   adding 'executorch/backends/cadence/aot/ref_implementations.py'
2025-06-05T23:29:52.9427532Z   adding 'executorch/backends/cadence/aot/remove_ops.py'
2025-06-05T23:29:52.9427742Z   adding 'executorch/backends/cadence/aot/reorder_ops.py'
2025-06-05T23:29:52.9427914Z   adding 'executorch/backends/cadence/aot/replace_ops.py'
2025-06-05T23:29:52.9428073Z   adding 'executorch/backends/cadence/aot/simplify_ops.py'
2025-06-05T23:29:52.9428207Z   adding 'executorch/backends/cadence/aot/utils.py'
2025-06-05T23:29:52.9428420Z   adding 'executorch/backends/cadence/aot/quantizer/fusion_pass.py'
2025-06-05T23:29:52.9428777Z   adding 'executorch/backends/cadence/aot/quantizer/patterns.py'
2025-06-05T23:29:52.9428983Z   adding 'executorch/backends/cadence/aot/quantizer/quantizer.py'
2025-06-05T23:29:52.9429155Z   adding 'executorch/backends/cadence/aot/quantizer/utils.py'
2025-06-05T23:29:52.9429489Z   adding 'executorch/backends/cadence/aot/tests/test_decompose_ops_passes.py'
2025-06-05T23:29:52.9429723Z   adding 'executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py'
2025-06-05T23:29:52.9429934Z   adding 'executorch/backends/cadence/aot/tests/test_graph_builder.py'
2025-06-05T23:29:52.9430210Z   adding 'executorch/backends/cadence/aot/tests/test_memory_passes.py'
2025-06-05T23:29:52.9430539Z   adding 'executorch/backends/cadence/aot/tests/test_pass_filter.py'
2025-06-05T23:29:52.9430843Z   adding 'executorch/backends/cadence/aot/tests/test_remove_ops_passes.py'
2025-06-05T23:29:52.9431096Z   adding 'executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py'
2025-06-05T23:29:52.9431328Z   adding 'executorch/backends/cadence/aot/tests/test_replace_ops_passes.py'
2025-06-05T23:29:52.9431673Z   adding 'executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py'
2025-06-05T23:29:52.9431850Z   adding 'executorch/backends/cadence/runtime/__init__.py'
2025-06-05T23:29:52.9432014Z   adding 'executorch/backends/cadence/runtime/executor.py'
2025-06-05T23:29:52.9432170Z   adding 'executorch/backends/cadence/runtime/runtime.py'
2025-06-05T23:29:52.9432322Z   adding 'executorch/backends/cadence/runtime/utils.py'
2025-06-05T23:29:52.9432495Z   adding 'executorch/backends/cadence/utils/facto_util.py'
2025-06-05T23:29:52.9432694Z   adding 'executorch/backends/cadence/utils/gen_header.py'
2025-06-05T23:29:52.9432935Z   adding 'executorch/backends/cadence/utils/post_compilation.py'
2025-06-05T23:29:52.9433209Z   adding 'executorch/backends/cadence/utils/FACTO/setup.py'
2025-06-05T23:29:52.9433500Z   adding 'executorch/backends/cadence/utils/FACTO/calibrator/__init__.py'
2025-06-05T23:29:52.9433716Z   adding 'executorch/backends/cadence/utils/FACTO/calibrator/runner.py'
2025-06-05T23:29:52.9433941Z   adding 'executorch/backends/cadence/utils/FACTO/examples/example.py'
2025-06-05T23:29:52.9434241Z   adding 'executorch/backends/cadence/utils/FACTO/examples/minimal_example.py'
2025-06-05T23:29:52.9434477Z   adding 'executorch/backends/cadence/utils/FACTO/examples/random_seed.py'
2025-06-05T23:29:52.9434677Z   adding 'executorch/backends/cadence/utils/FACTO/facto/__init__.py'
2025-06-05T23:29:52.9434936Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/__init__.py'
2025-06-05T23:29:52.9435276Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py'
2025-06-05T23:29:52.9435557Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py'
2025-06-05T23:29:52.9435833Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py'
2025-06-05T23:29:52.9436122Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py'
2025-06-05T23:29:52.9436401Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py'
2025-06-05T23:29:52.9705331Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py'
2025-06-05T23:29:52.9705697Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py'
2025-06-05T23:29:52.9706140Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py'
2025-06-05T23:29:52.9706503Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py'
2025-06-05T23:29:52.9706845Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py'
2025-06-05T23:29:52.9707168Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py'
2025-06-05T23:29:52.9707459Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py'
2025-06-05T23:29:52.9707717Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py'
2025-06-05T23:29:52.9707991Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py'
2025-06-05T23:29:52.9708350Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py'
2025-06-05T23:29:52.9708829Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py'
2025-06-05T23:29:52.9709175Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py'
2025-06-05T23:29:52.9709458Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py'
2025-06-05T23:29:52.9709745Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py'
2025-06-05T23:29:52.9710079Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py'
2025-06-05T23:29:52.9710388Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py'
2025-06-05T23:29:52.9710728Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py'
2025-06-05T23:29:52.9710983Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/db.py'
2025-06-05T23:29:52.9711288Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/default.py'
2025-06-05T23:29:52.9711532Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py'
2025-06-05T23:29:52.9711826Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/function.py'
2025-06-05T23:29:52.9712125Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py'
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2025-06-05T23:29:52.9712835Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py'
2025-06-05T23:29:52.9713149Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py'
2025-06-05T23:29:52.9713581Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py'
2025-06-05T23:29:52.9713936Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py'
2025-06-05T23:29:52.9714245Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py'
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2025-06-05T23:29:52.9714899Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py'
2025-06-05T23:29:52.9715152Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_specs.py'
2025-06-05T23:29:52.9715519Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py'
2025-06-05T23:29:52.9715886Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py'
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2025-06-05T23:29:52.9716798Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py'
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2025-06-05T23:29:52.9717425Z   adding 'executorch/backends/cortex_m/passes/replace_quant_nodes_pass.py'
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2025-06-05T23:29:52.9717896Z   adding 'executorch/backends/example/example_backend.py'
2025-06-05T23:29:52.9718094Z   adding 'executorch/backends/example/example_partitioner.py'
2025-06-05T23:29:52.9718262Z   adding 'executorch/backends/example/example_quantizer.py'
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2025-06-05T23:29:52.9719871Z   adding 'executorch/backends/example/example_operators/conv2d.py'
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2025-06-05T23:29:52.9720301Z   adding 'executorch/backends/example/example_operators/dropout.py'
2025-06-05T23:29:52.9720502Z   adding 'executorch/backends/example/example_operators/flatten.py'
2025-06-05T23:29:52.9720699Z   adding 'executorch/backends/example/example_operators/linear.py'
2025-06-05T23:29:52.9720917Z   adding 'executorch/backends/example/example_operators/op_base.py'
2025-06-05T23:29:52.9721185Z   adding 'executorch/backends/example/example_operators/ops.py'
2025-06-05T23:29:52.9721419Z   adding 'executorch/backends/example/example_operators/utils.py'
2025-06-05T23:29:52.9721591Z   adding 'executorch/backends/mediatek/__init__.py'
2025-06-05T23:29:52.9721818Z   adding 'executorch/backends/mediatek/partitioner.py'
2025-06-05T23:29:52.9721967Z   adding 'executorch/backends/mediatek/preprocess.py'
2025-06-05T23:29:52.9722132Z   adding 'executorch/backends/mediatek/_passes/__init__.py'
2025-06-05T23:29:52.9722496Z   adding 'executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py'
2025-06-05T23:29:52.9722673Z   adding 'executorch/backends/mediatek/quantizer/__init__.py'
2025-06-05T23:29:52.9722889Z   adding 'executorch/backends/mediatek/quantizer/annotator.py'
2025-06-05T23:29:52.9723075Z   adding 'executorch/backends/mediatek/quantizer/qconfig.py'
2025-06-05T23:29:52.9723300Z   adding 'executorch/backends/mediatek/quantizer/quantizer.py'
2025-06-05T23:29:52.9723562Z   adding 'executorch/backends/nxp/neutron_node_extraction.py'
2025-06-05T23:29:52.9723734Z   adding 'executorch/backends/nxp/neutron_partitioner.py'
2025-06-05T23:29:52.9723947Z   adding 'executorch/backends/nxp/neutron_pass_manager.py'
2025-06-05T23:29:52.9724086Z   adding 'executorch/backends/nxp/nxp_backend.py'
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2025-06-05T23:29:52.9724674Z   adding 'executorch/backends/nxp/aten_passes/fuse_batch_norm_with_linear_pass.py'
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2025-06-05T23:29:52.9725104Z   adding 'executorch/backends/nxp/backend/edge_helper.py'
2025-06-05T23:29:52.9725324Z   adding 'executorch/backends/nxp/backend/edge_program_converter.py'
2025-06-05T23:29:52.9725542Z   adding 'executorch/backends/nxp/backend/neutron_converter_manager.py'
2025-06-05T23:29:52.9725742Z   adding 'executorch/backends/nxp/backend/node_format_inference.py'
2025-06-05T23:29:52.9725939Z   adding 'executorch/backends/nxp/backend/ir/conversion_config.py'
2025-06-05T23:29:52.9726151Z   adding 'executorch/backends/nxp/backend/ir/conversion_context.py'
2025-06-05T23:29:52.9726334Z   adding 'executorch/backends/nxp/backend/ir/logger.py'
2025-06-05T23:29:52.9726533Z   adding 'executorch/backends/nxp/backend/ir/tensor_formatting.py'
2025-06-05T23:29:52.9726794Z   adding 'executorch/backends/nxp/backend/ir/converter/__init__.py'
2025-06-05T23:29:52.9727104Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converter.py'
2025-06-05T23:29:52.9727450Z   adding 'executorch/backends/nxp/backend/ir/converter/quantization_utils.py'
2025-06-05T23:29:52.9727725Z   adding 'executorch/backends/nxp/backend/ir/converter/tensor_utils.py'
2025-06-05T23:29:52.9727971Z   adding 'executorch/backends/nxp/backend/ir/converter/builder/__init__.py'
2025-06-05T23:29:52.9728364Z   adding 'executorch/backends/nxp/backend/ir/converter/builder/aten_model_builder_director.py'
2025-06-05T23:29:52.9728887Z   adding 'executorch/backends/nxp/backend/ir/converter/builder/model_builder.py'
2025-06-05T23:29:52.9729270Z   adding 'executorch/backends/nxp/backend/ir/converter/builder/quantization_verification.py'
2025-06-05T23:29:52.9729529Z   adding 'executorch/backends/nxp/backend/ir/converter/conversion/__init__.py'
2025-06-05T23:29:52.9729962Z   adding 'executorch/backends/nxp/backend/ir/converter/conversion/aten_translator.py'
2025-06-05T23:29:52.9730239Z   adding 'executorch/backends/nxp/backend/ir/converter/conversion/common.py'
2025-06-05T23:29:52.9730536Z   adding 'executorch/backends/nxp/backend/ir/converter/conversion/translator.py'
2025-06-05T23:29:52.9730881Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/__init__.py'
2025-06-05T23:29:52.9731246Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/__init__.py'
2025-06-05T23:29:52.9731672Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/addmm_converter.py'
2025-06-05T23:29:52.9732079Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/avg_pool_2d_converter.py'
2025-06-05T23:29:52.9732512Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/constant_pad_nd_converter.py'
2025-06-05T23:29:52.9733095Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/convolution_converter.py'
2025-06-05T23:29:52.9733622Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/max_pool_2d_converter.py'
2025-06-05T23:29:52.9734052Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/mm_converter.py'
2025-06-05T23:29:52.9734583Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/permute_copy_converter.py'
2025-06-05T23:29:52.9735000Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_dequantize_converter.py'
2025-06-05T23:29:52.9735454Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_quantize_converter.py'
2025-06-05T23:29:52.9946370Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/relu_converter.py'
2025-06-05T23:29:52.9947010Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/softmax_converter.py'
2025-06-05T23:29:52.9947663Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/view_copy_converter.py'
2025-06-05T23:29:52.9947977Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/shared/__init__.py'
2025-06-05T23:29:52.9948451Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/shared/recurrent_utils.py'
2025-06-05T23:29:52.9948802Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/shared/reduce_utils.py'
2025-06-05T23:29:52.9949175Z   adding 'executorch/backends/nxp/backend/ir/converter/node_converters/shared/reshape_transposition.py'
2025-06-05T23:29:52.9949348Z   adding 'executorch/backends/nxp/backend/ir/lib/__init__.py'
2025-06-05T23:29:52.9949588Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ATan2Options.py'
2025-06-05T23:29:52.9949808Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/AbsOptions.py'
2025-06-05T23:29:52.9950094Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ActivationFunctionType.py'
2025-06-05T23:29:52.9950325Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/AddNOptions.py'
2025-06-05T23:29:52.9950601Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/AddOptions.py'
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2025-06-05T23:29:52.9951245Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ArgMinOptions.py'
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2025-06-05T23:29:52.9959017Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/CustomQuantization.py'
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2025-06-05T23:29:52.9960431Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/DequantizeOptions.py'
2025-06-05T23:29:52.9960665Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/DilateOptions.py'
2025-06-05T23:29:52.9960947Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/DimensionMetadata.py'
2025-06-05T23:29:52.9961213Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/DimensionType.py'
2025-06-05T23:29:52.9961457Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/DivOptions.py'
2025-06-05T23:29:52.9961863Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/DynamicUpdateSliceOptions.py'
2025-06-05T23:29:52.9962325Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/EmbeddingLookupSparseOptions.py'
2025-06-05T23:29:52.9962592Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/EqualOptions.py'
2025-06-05T23:29:52.9962806Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ExpOptions.py'
2025-06-05T23:29:52.9963061Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ExpandDimsOptions.py'
2025-06-05T23:29:52.9963320Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/FakeQuantOptions.py'
2025-06-05T23:29:52.9963541Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/FillOptions.py'
2025-06-05T23:29:52.9963846Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/FloorDivOptions.py'
2025-06-05T23:29:52.9964225Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/FloorModOptions.py'
2025-06-05T23:29:52.9964585Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptions.py'
2025-06-05T23:29:52.9964994Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptionsWeightsFormat.py'
2025-06-05T23:29:52.9965307Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/GatherNdOptions.py'
2025-06-05T23:29:52.9965556Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/GatherOptions.py'
2025-06-05T23:29:52.9965825Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/GeluOptions.py'
2025-06-05T23:29:52.9966261Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/GreaterEqualOptions.py'
2025-06-05T23:29:52.9966500Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/GreaterOptions.py'
2025-06-05T23:29:52.9966745Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/HardSwishOptions.py'
2025-06-05T23:29:52.9967086Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/HashtableFindOptions.py'
2025-06-05T23:29:52.9967373Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/HashtableImportOptions.py'
2025-06-05T23:29:52.9967665Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/HashtableOptions.py'
2025-06-05T23:29:52.9967994Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/HashtableSizeOptions.py'
2025-06-05T23:29:52.9968323Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/IfOptions.py'
2025-06-05T23:29:52.9968589Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/Int32Vector.py'
2025-06-05T23:29:52.9968822Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/L2NormOptions.py'
2025-06-05T23:29:52.9969192Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionOptions.py'
2025-06-05T23:29:52.9969445Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionType.py'
2025-06-05T23:29:52.9969681Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/LSTMKernelType.py'
2025-06-05T23:29:52.9969969Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/LSTMOptions.py'
2025-06-05T23:29:52.9970297Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/LeakyReluOptions.py'
2025-06-05T23:29:52.9970621Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/LessEqualOptions.py'
2025-06-05T23:29:52.9970851Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/LessOptions.py'
2025-06-05T23:29:52.9971253Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/LocalResponseNormalizationOptions.py'
2025-06-05T23:29:52.9971509Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/LogSoftmaxOptions.py'
2025-06-05T23:29:52.9971801Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/LogicalAndOptions.py'
2025-06-05T23:29:52.9972124Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/LogicalNotOptions.py'
2025-06-05T23:29:52.9972475Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/LogicalOrOptions.py'
2025-06-05T23:29:52.9972779Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/MatrixDiagOptions.py'
2025-06-05T23:29:52.9973130Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/MatrixSetDiagOptions.py'
2025-06-05T23:29:52.9973472Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/MaximumMinimumOptions.py'
2025-06-05T23:29:52.9973681Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/Metadata.py'
2025-06-05T23:29:52.9973926Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadMode.py'
2025-06-05T23:29:52.9974186Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadOptions.py'
2025-06-05T23:29:52.9974422Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/Model.py'
2025-06-05T23:29:52.9974779Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/MulOptions.py'
2025-06-05T23:29:52.9975032Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/NegOptions.py'
2025-06-05T23:29:52.9975341Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV4Options.py'
2025-06-05T23:29:52.9975701Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV5Options.py'
2025-06-05T23:29:52.9975959Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/NotEqualOptions.py'
2025-06-05T23:29:52.9976192Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/OneHotOptions.py'
2025-06-05T23:29:52.9976495Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/Operator.py'
2025-06-05T23:29:52.9976815Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/OperatorCode.py'
2025-06-05T23:29:52.9977132Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/PackOptions.py'
2025-06-05T23:29:52.9977440Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/PadOptions.py'
2025-06-05T23:29:52.9977705Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/PadV2Options.py'
2025-06-05T23:29:52.9977932Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/Padding.py'
2025-06-05T23:29:52.9978165Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/Pool2DOptions.py'
2025-06-05T23:29:53.0210381Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/PowOptions.py'
2025-06-05T23:29:53.0210985Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/QuantizationDetails.py'
2025-06-05T23:29:53.0211734Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/QuantizationParameters.py'
2025-06-05T23:29:53.0212251Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/QuantizeOptions.py'
2025-06-05T23:29:53.0212610Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/RNNOptions.py'
2025-06-05T23:29:53.0213068Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/RandomOptions.py'
2025-06-05T23:29:53.0213469Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/RangeOptions.py'
2025-06-05T23:29:53.0213990Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/RankOptions.py'
2025-06-05T23:29:53.0214485Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReadVariableOptions.py'
2025-06-05T23:29:53.0214981Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowFunction.py'
2025-06-05T23:29:53.0215432Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowOptions.py'
2025-06-05T23:29:53.0215854Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReducerOptions.py'
2025-06-05T23:29:53.0216299Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReshapeOptions.py'
2025-06-05T23:29:53.0216852Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ResizeBilinearOptions.py'
2025-06-05T23:29:53.0217439Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ResizeNearestNeighborOptions.py'
2025-06-05T23:29:53.0217964Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReverseSequenceOptions.py'
2025-06-05T23:29:53.0218600Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReverseV2Options.py'
2025-06-05T23:29:53.0219031Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/Rfft2dOptions.py'
2025-06-05T23:29:53.0219488Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/RightShiftOptions.py'
2025-06-05T23:29:53.0219908Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/RngAlgorithm.py'
2025-06-05T23:29:53.0220310Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SVDFOptions.py'
2025-06-05T23:29:53.0220791Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ScatterNdOptions.py'
2025-06-05T23:29:53.0221272Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SegmentSumOptions.py'
2025-06-05T23:29:53.0221687Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SelectOptions.py'
2025-06-05T23:29:53.0222136Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SelectV2Options.py'
2025-06-05T23:29:53.0222661Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SequenceRNNOptions.py'
2025-06-05T23:29:53.0223089Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ShapeOptions.py'
2025-06-05T23:29:53.0223485Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SignOptions.py'
2025-06-05T23:29:53.0223901Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SignatureDef.py'
2025-06-05T23:29:53.0224376Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SkipGramOptions.py'
2025-06-05T23:29:53.0224797Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SliceOptions.py'
2025-06-05T23:29:53.0225235Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SoftmaxOptions.py'
2025-06-05T23:29:53.0225885Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SpaceToBatchNDOptions.py'
2025-06-05T23:29:53.0226407Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SpaceToDepthOptions.py'
2025-06-05T23:29:53.0226877Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SparseIndexVector.py'
2025-06-05T23:29:53.0227386Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SparseToDenseOptions.py'
2025-06-05T23:29:53.0227868Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SparsityParameters.py'
2025-06-05T23:29:53.0228283Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SplitOptions.py'
2025-06-05T23:29:53.0228942Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SplitVOptions.py'
2025-06-05T23:29:53.0229371Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SquareOptions.py'
2025-06-05T23:29:53.0229881Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SquaredDifferenceOptions.py'
2025-06-05T23:29:53.0230449Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SqueezeOptions.py'
2025-06-05T23:29:53.0231106Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloBroadcastInDimOptions.py'
2025-06-05T23:29:53.0231626Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloCompareOptions.py'
2025-06-05T23:29:53.0232221Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonDirection.py'
2025-06-05T23:29:53.0232896Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonType.py'
2025-06-05T23:29:53.0233468Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloConcatenateOptions.py'
2025-06-05T23:29:53.0234035Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloConvolutionOptions.py'
2025-06-05T23:29:53.0234631Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloCustomCallOptions.py'
2025-06-05T23:29:53.0235344Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloDotGeneralOptions.py'
2025-06-05T23:29:53.0235929Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloDynamicSliceOptions.py'
2025-06-05T23:29:53.0236523Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloGatherOptions.py'
2025-06-05T23:29:53.0237037Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloIotaOptions.py'
2025-06-05T23:29:53.0237629Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloPadOptions.py'
2025-06-05T23:29:53.0238198Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloPrecisionConfig.py'
2025-06-05T23:29:53.0238740Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceOptions.py'
2025-06-05T23:29:53.0239325Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceWindowOptions.py'
2025-06-05T23:29:53.0239961Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloRngBitGeneratorOptions.py'
2025-06-05T23:29:53.0240507Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloScatterOptions.py'
2025-06-05T23:29:53.0241040Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloSliceOptions.py'
2025-06-05T23:29:53.0241543Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloSortOptions.py'
2025-06-05T23:29:53.0242097Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloTransposeOptions.py'
2025-06-05T23:29:53.0242632Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloWhileOptions.py'
2025-06-05T23:29:53.0243128Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/StridedSliceOptions.py'
2025-06-05T23:29:53.0243509Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SubGraph.py'
2025-06-05T23:29:53.0243881Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/SubOptions.py'
2025-06-05T23:29:53.0244234Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/Tensor.py'
2025-06-05T23:29:53.0244650Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/TensorMap.py'
2025-06-05T23:29:53.0245047Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/TensorType.py'
2025-06-05T23:29:53.0245442Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/TileOptions.py'
2025-06-05T23:29:53.0245986Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/TopKV2Options.py'
2025-06-05T23:29:53.0246500Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/TransposeConvOptions.py'
2025-06-05T23:29:53.0246967Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/TransposeOptions.py'
2025-06-05T23:29:53.0247390Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/Uint16Vector.py'
2025-06-05T23:29:53.0247869Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/Uint8Vector.py'
2025-06-05T23:29:53.0248529Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnidirectionalSequenceLSTMOptions.py'
2025-06-05T23:29:53.0248973Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/UniqueOptions.py'
2025-06-05T23:29:53.0249413Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnpackOptions.py'
2025-06-05T23:29:53.0249981Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMaxOptions.py'
2025-06-05T23:29:53.0250530Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMinOptions.py'
2025-06-05T23:29:53.0251122Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentProdOptions.py'
2025-06-05T23:29:53.0251677Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentSumOptions.py'
2025-06-05T23:29:53.0252159Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/VarHandleOptions.py'
2025-06-05T23:29:53.0252592Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/VariantSubType.py'
2025-06-05T23:29:53.0253074Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/WhereOptions.py'
2025-06-05T23:29:53.0253502Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/WhileOptions.py'
2025-06-05T23:29:53.0253971Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/ZerosLikeOptions.py'
2025-06-05T23:29:53.0254334Z   adding 'executorch/backends/nxp/backend/ir/lib/tflite/__init__.py'
2025-06-05T23:29:53.0254749Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/__init__.py'
2025-06-05T23:29:53.0255234Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/tflite_model.py'
2025-06-05T23:29:53.0255815Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/__init__.py'
2025-06-05T23:29:53.0256477Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/abs_options.py'
2025-06-05T23:29:53.0257089Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_n_options.py'
2025-06-05T23:29:53.0257713Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_options.py'
2025-06-05T23:29:53.0258330Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_max_options.py'
2025-06-05T23:29:53.0258929Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_min_options.py'
2025-06-05T23:29:53.0259707Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/average_pool_2d_options.py'
2025-06-05T23:29:53.0260422Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/batch_mat_mul_options.py'
2025-06-05T23:29:53.0261216Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_lstm_options.py'
2025-06-05T23:29:53.0262058Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_rnn_options.py'
2025-06-05T23:29:53.0388809Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bitwise_xor_options.py'
2025-06-05T23:29:53.0389432Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/broadcast_to_options.py'
2025-06-05T23:29:53.0389759Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cast_options.py'
2025-06-05T23:29:53.0390194Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/concatenation_options.py'
2025-06-05T23:29:53.0390577Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_2d_options.py'
2025-06-05T23:29:53.0391189Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_3d_options.py'
2025-06-05T23:29:53.0391520Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cum_sum_options.py'
2025-06-05T23:29:53.0391906Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depth_to_space_options.py'
2025-06-05T23:29:53.0392293Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depthwise_conv_2d_options.py'
2025-06-05T23:29:53.0392677Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/dequantize_options.py'
2025-06-05T23:29:53.0393148Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/div_options.py'
2025-06-05T23:29:53.0393550Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/equal_options.py'
2025-06-05T23:29:53.0393941Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/exp_options.py'
2025-06-05T23:29:53.0394299Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/floor_mod_options.py'
2025-06-05T23:29:53.0394669Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/fully_connected_options.py'
2025-06-05T23:29:53.0395015Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_nd_options.py'
2025-06-05T23:29:53.0395417Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_options.py'
2025-06-05T23:29:53.0395739Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gelu_options.py'
2025-06-05T23:29:53.0396136Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_equal_options.py'
2025-06-05T23:29:53.0396624Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_options.py'
2025-06-05T23:29:53.0396987Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/hard_swish_options.py'
2025-06-05T23:29:53.0397334Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/leaky_relu_options.py'
2025-06-05T23:29:53.0397675Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_equal_options.py'
2025-06-05T23:29:53.0398077Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_options.py'
2025-06-05T23:29:53.0398431Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/log_softmax_options.py'
2025-06-05T23:29:53.0398814Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_and_options.py'
2025-06-05T23:29:53.0399230Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_not_options.py'
2025-06-05T23:29:53.0399657Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_or_options.py'
2025-06-05T23:29:53.0399978Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lrn_options.py'
2025-06-05T23:29:53.0400307Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lstm_options.py'
2025-06-05T23:29:53.0400656Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/max_pool_2d_options.py'
2025-06-05T23:29:53.0400986Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/maximum_options.py'
2025-06-05T23:29:53.0401350Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mean_options.py'
2025-06-05T23:29:53.0401848Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/minimum_options.py'
2025-06-05T23:29:53.0402333Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mirror_pad_options.py'
2025-06-05T23:29:53.0402663Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mul_options.py'
2025-06-05T23:29:53.0403017Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/multinomial_options.py'
2025-06-05T23:29:53.0403405Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/neg_options.py'
2025-06-05T23:29:53.0403814Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/not_equal_options.py'
2025-06-05T23:29:53.0404234Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/one_hot_options.py'
2025-06-05T23:29:53.0404560Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_options.py'
2025-06-05T23:29:53.0404904Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_v2_options.py'
2025-06-05T23:29:53.0405220Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pow_options.py'
2025-06-05T23:29:53.0405566Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/quantize_options.py'
2025-06-05T23:29:53.0405951Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/range_options.py'
2025-06-05T23:29:53.0406371Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_max_options.py'
2025-06-05T23:29:53.0406716Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_min_options.py'
2025-06-05T23:29:53.0407166Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_prod_options.py'
2025-06-05T23:29:53.0407555Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reshape_options.py'
2025-06-05T23:29:53.0407925Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_bilinear_options.py'
2025-06-05T23:29:53.0408344Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_nearest_neighbor_options.py'
2025-06-05T23:29:53.0408728Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reverse_sequence_options.py'
2025-06-05T23:29:53.0409074Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/scatter_nd_options.py'
2025-06-05T23:29:53.0409495Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/select_v2_options.py'
2025-06-05T23:29:53.0409889Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/shape_options.py'
2025-06-05T23:29:53.0410295Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sign_options.py'
2025-06-05T23:29:53.0410618Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/slice_options.py'
2025-06-05T23:29:53.0410960Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/softmax_options.py'
2025-06-05T23:29:53.0411322Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/space_to_depth_options.py'
2025-06-05T23:29:53.0411644Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_options.py'
2025-06-05T23:29:53.0412013Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_v_options.py'
2025-06-05T23:29:53.0412388Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/square_options.py'
2025-06-05T23:29:53.0412798Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squared_difference_options.py'
2025-06-05T23:29:53.0413295Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squeeze_options.py'
2025-06-05T23:29:53.0413658Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/strided_slice_options.py'
2025-06-05T23:29:53.0413972Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sub_options.py'
2025-06-05T23:29:53.0414302Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sum_options.py'
2025-06-05T23:29:53.0414622Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/tile_options.py'
2025-06-05T23:29:53.0415029Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_conv_options.py'
2025-06-05T23:29:53.0415373Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_options.py'
2025-06-05T23:29:53.0415821Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_lstm_options.py'
2025-06-05T23:29:53.0416293Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_rnn_options.py'
2025-06-05T23:29:53.0416698Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/custom_options/flex_transpose_options.py'
2025-06-05T23:29:53.0417030Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/meta/__init__.py'
2025-06-05T23:29:53.0417284Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/meta/meta.py'
2025-06-05T23:29:53.0417522Z   adding 'executorch/backends/nxp/backend/ir/tflite_generator/meta/types.py'
2025-06-05T23:29:53.0417802Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/__init__.py'
2025-06-05T23:29:53.0418049Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/graph_utils.py'
2025-06-05T23:29:53.0418305Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/operator_rules.py'
2025-06-05T23:29:53.0418555Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizer.py'
2025-06-05T23:29:53.0418850Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/pattern_matcher.py'
2025-06-05T23:29:53.0419135Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/tensor_rules.py'
2025-06-05T23:29:53.0419487Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/__init__.py'
2025-06-05T23:29:53.0673241Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/base_optimization.py'
2025-06-05T23:29:53.0673909Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/combine_hard_sigmoid_and_mul_to_hard_swish.py'
2025-06-05T23:29:53.0674320Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/eliminate_dead_branches.py'
2025-06-05T23:29:53.0674699Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_activation_functions.py'
2025-06-05T23:29:53.0675480Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_fully_connected_and_add_operators.py'
2025-06-05T23:29:53.0676092Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_quanitze_into_preceding_ops.py'
2025-06-05T23:29:53.0676456Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/keep_one_empty_buffer.py'
2025-06-05T23:29:53.0676910Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/move_relu_before_concat.py'
2025-06-05T23:29:53.0677406Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/permute_fully_connected_weights_after_reshape.py'
2025-06-05T23:29:53.0677908Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_cast_operators.py'
2025-06-05T23:29:53.0678369Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_quantize_operators.py'
2025-06-05T23:29:53.0678745Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_reshape_operators.py'
2025-06-05T23:29:53.0679182Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_transpose_operators.py'
2025-06-05T23:29:53.0679696Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/remove_unused_tensors_and_buffers.py'
2025-06-05T23:29:53.0680223Z   adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/replace_average_pool_before_fully_connected_with_sum.py'
2025-06-05T23:29:53.0680421Z   adding 'executorch/backends/nxp/quantizer/neutron_quantizer.py'
2025-06-05T23:29:53.0680582Z   adding 'executorch/backends/nxp/quantizer/patterns.py'
2025-06-05T23:29:53.0680740Z   adding 'executorch/backends/nxp/quantizer/utils.py'
2025-06-05T23:29:53.0681033Z   adding 'executorch/backends/nxp/tests/executorch_pipeline.py'
2025-06-05T23:29:53.0681174Z   adding 'executorch/backends/nxp/tests/executors.py'
2025-06-05T23:29:53.0681419Z   adding 'executorch/backends/nxp/tests/exported_program_vizualize.py'
2025-06-05T23:29:53.0681649Z   adding 'executorch/backends/nxp/tests/models.py'
2025-06-05T23:29:53.0681918Z   adding 'executorch/backends/nxp/tests/test_batch_norm_fusion.py'
2025-06-05T23:29:53.0682124Z   adding 'executorch/backends/nxp/tests/test_neutron_backend.py'
2025-06-05T23:29:53.0682355Z   adding 'executorch/backends/nxp/tests/test_neutron_converter_manager.py'
2025-06-05T23:29:53.0682566Z   adding 'executorch/backends/nxp/tests/test_node_format_inference.py'
2025-06-05T23:29:53.0682766Z   adding 'executorch/backends/nxp/tests/test_operator_selector.py'
2025-06-05T23:29:53.0682986Z   adding 'executorch/backends/nxp/tests/test_qdq_clustering_conv.py'
2025-06-05T23:29:53.0683218Z   adding 'executorch/backends/nxp/tests/test_quantizer.py'
2025-06-05T23:29:53.0683564Z   adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_avg_pool2d_converter.py'
2025-06-05T23:29:53.0683944Z   adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_constant_pad_nd_converter.py'
2025-06-05T23:29:53.0684260Z   adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_conv_converter.py'
2025-06-05T23:29:53.0684645Z   adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_linear_converter.py'
2025-06-05T23:29:53.0685000Z   adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_max_pool_2d_converter.py'
2025-06-05T23:29:53.0685419Z   adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_permute_copy_converter.py'
2025-06-05T23:29:53.0685795Z   adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_relu_converter.py'
2025-06-05T23:29:53.0686136Z   adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_softmax_converter.py'
2025-06-05T23:29:53.0686470Z   adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_view_copy_converter.py'
2025-06-05T23:29:53.0686607Z   adding 'executorch/backends/openvino/__init__.py'
2025-06-05T23:29:53.0686760Z   adding 'executorch/backends/openvino/partitioner.py'
2025-06-05T23:29:53.0686923Z   adding 'executorch/backends/openvino/preprocess.py'
2025-06-05T23:29:53.0687174Z   adding 'executorch/backends/openvino/quantizer/__init__.py'
2025-06-05T23:29:53.0687357Z   adding 'executorch/backends/openvino/quantizer/quantizer.py'
2025-06-05T23:29:53.0687649Z   adding 'executorch/backends/openvino/tests/test_runner.py'
2025-06-05T23:29:53.0687919Z   adding 'executorch/backends/openvino/tests/models/test_classification.py'
2025-06-05T23:29:53.0688158Z   adding 'executorch/backends/openvino/tests/ops/base_openvino_op_test.py'
2025-06-05T23:29:53.0688344Z   adding 'executorch/backends/openvino/tests/ops/test_add.py'
2025-06-05T23:29:53.0688528Z   adding 'executorch/backends/openvino/tests/ops/test_addmm.py'
2025-06-05T23:29:53.0688718Z   adding 'executorch/backends/openvino/tests/ops/test_arange.py'
2025-06-05T23:29:53.0688935Z   adding 'executorch/backends/openvino/tests/ops/test_batch_norm.py'
2025-06-05T23:29:53.0689146Z   adding 'executorch/backends/openvino/tests/ops/test_convolution.py'
2025-06-05T23:29:53.0689325Z   adding 'executorch/backends/openvino/tests/ops/test_mean.py'
2025-06-05T23:29:53.0689518Z   adding 'executorch/backends/openvino/tests/ops/test_permute.py'
2025-06-05T23:29:53.0689725Z   adding 'executorch/backends/openvino/tests/ops/test_pooling.py'
2025-06-05T23:29:53.0689925Z   adding 'executorch/backends/openvino/tests/ops/test_unary_ops.py'
2025-06-05T23:29:53.0690099Z   adding 'executorch/backends/openvino/tests/ops/test_view.py'
2025-06-05T23:29:53.0690275Z   adding 'executorch/backends/qualcomm/qnn_preprocess.py'
2025-06-05T23:29:53.0690481Z   adding 'executorch/backends/qualcomm/_passes/__init__.py'
2025-06-05T23:29:53.0690806Z   adding 'executorch/backends/qualcomm/_passes/annotate_adaptive_avg_pool1d.py'
2025-06-05T23:29:53.0691090Z   adding 'executorch/backends/qualcomm/_passes/annotate_quant_attrs.py'
2025-06-05T23:29:53.0691279Z   adding 'executorch/backends/qualcomm/_passes/annotate_stack.py'
2025-06-05T23:29:53.0691471Z   adding 'executorch/backends/qualcomm/_passes/annotate_unbind.py'
2025-06-05T23:29:53.0691660Z   adding 'executorch/backends/qualcomm/_passes/build_quant_io.py'
2025-06-05T23:29:53.0691894Z   adding 'executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py'
2025-06-05T23:29:53.0692126Z   adding 'executorch/backends/qualcomm/_passes/convert_conv1d_to_conv2d.py'
2025-06-05T23:29:53.0692342Z   adding 'executorch/backends/qualcomm/_passes/convert_square_to_pow.py'
2025-06-05T23:29:53.0692535Z   adding 'executorch/backends/qualcomm/_passes/decompose_any.py'
2025-06-05T23:29:53.0692729Z   adding 'executorch/backends/qualcomm/_passes/decompose_cdist.py'
2025-06-05T23:29:53.0693043Z   adding 'executorch/backends/qualcomm/_passes/decompose_einsum.py'
2025-06-05T23:29:53.0693258Z   adding 'executorch/backends/qualcomm/_passes/decompose_expm1.py'
2025-06-05T23:29:53.0693523Z   adding 'executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py'
2025-06-05T23:29:53.0693743Z   adding 'executorch/backends/qualcomm/_passes/decompose_roll.py'
2025-06-05T23:29:53.0693943Z   adding 'executorch/backends/qualcomm/_passes/decompose_silu.py'
2025-06-05T23:29:53.0694235Z   adding 'executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py'
2025-06-05T23:29:53.0694456Z   adding 'executorch/backends/qualcomm/_passes/fixed_linear_keep_dim.py'
2025-06-05T23:29:53.0694619Z   adding 'executorch/backends/qualcomm/_passes/fold_qdq.py'
2025-06-05T23:29:53.0694848Z   adding 'executorch/backends/qualcomm/_passes/fuse_consecutive_cast.py'
2025-06-05T23:29:53.0695092Z   adding 'executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py'
2025-06-05T23:29:53.0695262Z   adding 'executorch/backends/qualcomm/_passes/i64_to_i32.py'
2025-06-05T23:29:53.0695452Z   adding 'executorch/backends/qualcomm/_passes/insert_io_qdq.py'
2025-06-05T23:29:53.0695655Z   adding 'executorch/backends/qualcomm/_passes/insert_requantize.py'
2025-06-05T23:29:53.0695851Z   adding 'executorch/backends/qualcomm/_passes/layout_transform.py'
2025-06-05T23:29:53.0696115Z   adding 'executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py'
2025-06-05T23:29:53.0696339Z   adding 'executorch/backends/qualcomm/_passes/qnn_pass_manager.py'
2025-06-05T23:29:53.0696619Z   adding 'executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py'
2025-06-05T23:29:53.0696902Z   adding 'executorch/backends/qualcomm/_passes/recompose_rms_norm.py'
2025-06-05T23:29:53.0697118Z   adding 'executorch/backends/qualcomm/_passes/reduce_dynamic_range.py'
2025-06-05T23:29:53.0697310Z   adding 'executorch/backends/qualcomm/_passes/remove_0d_tensor.py'
2025-06-05T23:29:53.0697514Z   adding 'executorch/backends/qualcomm/_passes/remove_redundancy.py'
2025-06-05T23:29:53.0697743Z   adding 'executorch/backends/qualcomm/_passes/replace_arange_args.py'
2025-06-05T23:29:53.0697975Z   adding 'executorch/backends/qualcomm/_passes/replace_index_put_input.py'
2025-06-05T23:29:53.0698183Z   adding 'executorch/backends/qualcomm/_passes/replace_inf_values.py'
2025-06-05T23:29:53.0698379Z   adding 'executorch/backends/qualcomm/_passes/tag_quant_io.py'
2025-06-05T23:29:53.0698535Z   adding 'executorch/backends/qualcomm/_passes/utils.py'
2025-06-05T23:29:53.0698689Z   adding 'executorch/backends/qualcomm/aot/ir/qcir.fbs'
2025-06-05T23:29:53.0698867Z   adding 'executorch/backends/qualcomm/builders/__init__.py'
2025-06-05T23:29:53.0699052Z   adding 'executorch/backends/qualcomm/builders/node_visitor.py'
2025-06-05T23:29:53.0699212Z   adding 'executorch/backends/qualcomm/builders/op_abs.py'
2025-06-05T23:29:53.0699447Z   adding 'executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py'
2025-06-05T23:29:53.0699620Z   adding 'executorch/backends/qualcomm/builders/op_add.py'
2025-06-05T23:29:53.0699795Z   adding 'executorch/backends/qualcomm/builders/op_amax.py'
2025-06-05T23:29:53.0700027Z   adding 'executorch/backends/qualcomm/builders/op_and.py'
2025-06-05T23:29:53.0700294Z   adding 'executorch/backends/qualcomm/builders/op_arange.py'
2025-06-05T23:29:53.0700465Z   adding 'executorch/backends/qualcomm/builders/op_argmin.py'
2025-06-05T23:29:53.0700659Z   adding 'executorch/backends/qualcomm/builders/op_avg_pool2d.py'
2025-06-05T23:29:53.0700863Z   adding 'executorch/backends/qualcomm/builders/op_batch_norm.py'
2025-06-05T23:29:53.0701023Z   adding 'executorch/backends/qualcomm/builders/op_bmm.py'
2025-06-05T23:29:53.0701179Z   adding 'executorch/backends/qualcomm/builders/op_cat.py'
2025-06-05T23:29:53.0701340Z   adding 'executorch/backends/qualcomm/builders/op_ceil.py'
2025-06-05T23:29:53.1088687Z   adding 'executorch/backends/qualcomm/builders/op_clamp.py'
2025-06-05T23:29:53.1089049Z   adding 'executorch/backends/qualcomm/builders/op_conv2d.py'
2025-06-05T23:29:53.1089567Z   adding 'executorch/backends/qualcomm/builders/op_cos.py'
2025-06-05T23:29:53.1089747Z   adding 'executorch/backends/qualcomm/builders/op_cum_sum.py'
2025-06-05T23:29:53.1089970Z   adding 'executorch/backends/qualcomm/builders/op_depth_to_space.py'
2025-06-05T23:29:53.1090165Z   adding 'executorch/backends/qualcomm/builders/op_dequantize.py'
2025-06-05T23:29:53.1090342Z   adding 'executorch/backends/qualcomm/builders/op_div.py'
2025-06-05T23:29:53.1090601Z   adding 'executorch/backends/qualcomm/builders/op_elu.py'
2025-06-05T23:29:53.1090787Z   adding 'executorch/backends/qualcomm/builders/op_embedding.py'
2025-06-05T23:29:53.1090961Z   adding 'executorch/backends/qualcomm/builders/op_eq.py'
2025-06-05T23:29:53.1091119Z   adding 'executorch/backends/qualcomm/builders/op_exp.py'
2025-06-05T23:29:53.1091295Z   adding 'executorch/backends/qualcomm/builders/op_expand.py'
2025-06-05T23:29:53.1091475Z   adding 'executorch/backends/qualcomm/builders/op_full.py'
2025-06-05T23:29:53.1091661Z   adding 'executorch/backends/qualcomm/builders/op_full_like.py'
2025-06-05T23:29:53.1091833Z   adding 'executorch/backends/qualcomm/builders/op_gather.py'
2025-06-05T23:29:53.1091993Z   adding 'executorch/backends/qualcomm/builders/op_ge.py'
2025-06-05T23:29:53.1092173Z   adding 'executorch/backends/qualcomm/builders/op_gelu.py'
2025-06-05T23:29:53.1092363Z   adding 'executorch/backends/qualcomm/builders/op_group_norm.py'
2025-06-05T23:29:53.1092567Z   adding 'executorch/backends/qualcomm/builders/op_gt.py'
2025-06-05T23:29:53.1092784Z   adding 'executorch/backends/qualcomm/builders/op_hardsigmoid.py'
2025-06-05T23:29:53.1093050Z   adding 'executorch/backends/qualcomm/builders/op_hardswish.py'
2025-06-05T23:29:53.1093233Z   adding 'executorch/backends/qualcomm/builders/op_hardtanh.py'
2025-06-05T23:29:53.1093416Z   adding 'executorch/backends/qualcomm/builders/op_index.py'
2025-06-05T23:29:53.1093601Z   adding 'executorch/backends/qualcomm/builders/op_index_put.py'
2025-06-05T23:29:53.1093810Z   adding 'executorch/backends/qualcomm/builders/op_instance_norm.py'
2025-06-05T23:29:53.1094017Z   adding 'executorch/backends/qualcomm/builders/op_layer_norm.py'
2025-06-05T23:29:53.1094178Z   adding 'executorch/backends/qualcomm/builders/op_le.py'
2025-06-05T23:29:53.1094349Z   adding 'executorch/backends/qualcomm/builders/op_linear.py'
2025-06-05T23:29:53.1094508Z   adding 'executorch/backends/qualcomm/builders/op_log.py'
2025-06-05T23:29:53.1094722Z   adding 'executorch/backends/qualcomm/builders/op_log_softmax.py'
2025-06-05T23:29:53.1094919Z   adding 'executorch/backends/qualcomm/builders/op_logical_not.py'
2025-06-05T23:29:53.1095075Z   adding 'executorch/backends/qualcomm/builders/op_lt.py'
2025-06-05T23:29:53.1095256Z   adding 'executorch/backends/qualcomm/builders/op_matmul.py'
2025-06-05T23:29:53.1095412Z   adding 'executorch/backends/qualcomm/builders/op_max.py'
2025-06-05T23:29:53.1095600Z   adding 'executorch/backends/qualcomm/builders/op_max_pool2d.py'
2025-06-05T23:29:53.1095825Z   adding 'executorch/backends/qualcomm/builders/op_mean_dim.py'
2025-06-05T23:29:53.1095987Z   adding 'executorch/backends/qualcomm/builders/op_min.py'
2025-06-05T23:29:53.1096198Z   adding 'executorch/backends/qualcomm/builders/op_mul.py'
2025-06-05T23:29:53.1096367Z   adding 'executorch/backends/qualcomm/builders/op_ne.py'
2025-06-05T23:29:53.1096524Z   adding 'executorch/backends/qualcomm/builders/op_neg.py'
2025-06-05T23:29:53.1096678Z   adding 'executorch/backends/qualcomm/builders/op_or.py'
2025-06-05T23:29:53.1096853Z   adding 'executorch/backends/qualcomm/builders/op_pad.py'
2025-06-05T23:29:53.1097012Z   adding 'executorch/backends/qualcomm/builders/op_pow.py'
2025-06-05T23:29:53.1097177Z   adding 'executorch/backends/qualcomm/builders/op_prelu.py'
2025-06-05T23:29:53.1097367Z   adding 'executorch/backends/qualcomm/builders/op_quantize.py'
2025-06-05T23:29:53.1097529Z   adding 'executorch/backends/qualcomm/builders/op_relu.py'
2025-06-05T23:29:53.1097697Z   adding 'executorch/backends/qualcomm/builders/op_repeat.py'
2025-06-05T23:29:53.1097906Z   adding 'executorch/backends/qualcomm/builders/op_reshape.py'
2025-06-05T23:29:53.1098090Z   adding 'executorch/backends/qualcomm/builders/op_resize.py'
2025-06-05T23:29:53.1098266Z   adding 'executorch/backends/qualcomm/builders/op_rms_norm.py'
2025-06-05T23:29:53.1098432Z   adding 'executorch/backends/qualcomm/builders/op_rsqrt.py'
2025-06-05T23:29:53.1098647Z   adding 'executorch/backends/qualcomm/builders/op_scalar_tensor.py'
2025-06-05T23:29:53.1098869Z   adding 'executorch/backends/qualcomm/builders/op_select_copy.py'
2025-06-05T23:29:53.1099047Z   adding 'executorch/backends/qualcomm/builders/op_sigmoid.py'
2025-06-05T23:29:53.1099215Z   adding 'executorch/backends/qualcomm/builders/op_sin.py'
2025-06-05T23:29:53.1099394Z   adding 'executorch/backends/qualcomm/builders/op_skip_ops.py'
2025-06-05T23:29:53.1099603Z   adding 'executorch/backends/qualcomm/builders/op_slice_copy.py'
2025-06-05T23:29:53.1099806Z   adding 'executorch/backends/qualcomm/builders/op_softmax.py'
2025-06-05T23:29:53.1100075Z   adding 'executorch/backends/qualcomm/builders/op_space_to_depth.py'
2025-06-05T23:29:53.1100294Z   adding 'executorch/backends/qualcomm/builders/op_split_with_sizes.py'
2025-06-05T23:29:53.1100457Z   adding 'executorch/backends/qualcomm/builders/op_sqrt.py'
2025-06-05T23:29:53.1100694Z   adding 'executorch/backends/qualcomm/builders/op_squeeze.py'
2025-06-05T23:29:53.1100862Z   adding 'executorch/backends/qualcomm/builders/op_stack.py'
2025-06-05T23:29:53.1101061Z   adding 'executorch/backends/qualcomm/builders/op_sub.py'
2025-06-05T23:29:53.1101279Z   adding 'executorch/backends/qualcomm/builders/op_sum_int_list.py'
2025-06-05T23:29:53.1101486Z   adding 'executorch/backends/qualcomm/builders/op_tanh.py'
2025-06-05T23:29:53.1101641Z   adding 'executorch/backends/qualcomm/builders/op_to.py'
2025-06-05T23:29:53.1101802Z   adding 'executorch/backends/qualcomm/builders/op_topk.py'
2025-06-05T23:29:53.1101999Z   adding 'executorch/backends/qualcomm/builders/op_transpose.py'
2025-06-05T23:29:53.1102172Z   adding 'executorch/backends/qualcomm/builders/op_unbind.py'
2025-06-05T23:29:53.1102358Z   adding 'executorch/backends/qualcomm/builders/op_unsqueeze.py'
2025-06-05T23:29:53.1102611Z   adding 'executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py'
2025-06-05T23:29:53.1102842Z   adding 'executorch/backends/qualcomm/builders/op_upsample_nearest2d.py'
2025-06-05T23:29:53.1103009Z   adding 'executorch/backends/qualcomm/builders/op_where.py'
2025-06-05T23:29:53.1103219Z   adding 'executorch/backends/qualcomm/builders/qnn_constants.py'
2025-06-05T23:29:53.1103411Z   adding 'executorch/backends/qualcomm/builders/utils.py'
2025-06-05T23:29:53.1103605Z   adding 'executorch/backends/qualcomm/debugger/utils.py'
2025-06-05T23:29:53.1103839Z   adding 'executorch/backends/qualcomm/partition/common_defs.py'
2025-06-05T23:29:53.1104088Z   adding 'executorch/backends/qualcomm/partition/qnn_partitioner.py'
2025-06-05T23:29:53.1104251Z   adding 'executorch/backends/qualcomm/partition/utils.py'
2025-06-05T23:29:53.1104437Z   adding 'executorch/backends/qualcomm/quantizer/annotators.py'
2025-06-05T23:29:53.1104756Z   adding 'executorch/backends/qualcomm/quantizer/custom_annotation.py'
2025-06-05T23:29:53.1104933Z   adding 'executorch/backends/qualcomm/quantizer/qconfig.py'
2025-06-05T23:29:53.1105149Z   adding 'executorch/backends/qualcomm/quantizer/quantizer.py'
2025-06-05T23:29:53.1105560Z   adding 'executorch/backends/qualcomm/quantizer/observers/per_block_param_observer.py'
2025-06-05T23:29:53.1105910Z   adding 'executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py'
2025-06-05T23:29:53.1106155Z   adding 'executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs'
2025-06-05T23:29:53.1106414Z   adding 'executorch/backends/qualcomm/serialization/qc_schema.py'
2025-06-05T23:29:53.1106659Z   adding 'executorch/backends/qualcomm/serialization/qc_schema_serialize.py'
2025-06-05T23:29:53.1106809Z   adding 'executorch/backends/qualcomm/tests/models.py'
2025-06-05T23:29:53.1107079Z   adding 'executorch/backends/qualcomm/tests/test_qnn_delegate.py'
2025-06-05T23:29:53.1107276Z   adding 'executorch/backends/qualcomm/tests/utils.py'
2025-06-05T23:29:53.1107503Z   adding 'executorch/backends/qualcomm/utils/constants.py'
2025-06-05T23:29:53.1107650Z   adding 'executorch/backends/qualcomm/utils/utils.py'
2025-06-05T23:29:53.1107802Z   adding 'executorch/backends/transforms/__init__.py'
2025-06-05T23:29:53.1107982Z   adding 'executorch/backends/transforms/addmm_mm_to_linear.py'
2025-06-05T23:29:53.1108265Z   adding 'executorch/backends/transforms/convert_dtype_pass.py'
2025-06-05T23:29:53.1108449Z   adding 'executorch/backends/transforms/decompose_sdpa.py'
2025-06-05T23:29:53.1108697Z   adding 'executorch/backends/transforms/duplicate_dynamic_quant_chain.py'
2025-06-05T23:29:53.1108961Z   adding 'executorch/backends/transforms/fuse_batch_norm_with_conv.py'
2025-06-05T23:29:53.1109196Z   adding 'executorch/backends/transforms/fuse_conv_with_clamp.py'
2025-06-05T23:29:53.1109421Z   adding 'executorch/backends/transforms/fuse_view_copy.py'
2025-06-05T23:29:53.1109600Z   adding 'executorch/backends/transforms/mean_to_sum_div.py'
2025-06-05T23:29:53.1109770Z   adding 'executorch/backends/transforms/rank_0_to_rank_1.py'
2025-06-05T23:29:53.1109953Z   adding 'executorch/backends/transforms/remove_clone_ops.py'
2025-06-05T23:29:53.1110184Z   adding 'executorch/backends/transforms/remove_getitem_op.py'
2025-06-05T23:29:53.1110446Z   adding 'executorch/backends/transforms/replace_scalar_with_tensor.py'
2025-06-05T23:29:53.1110626Z   adding 'executorch/backends/transforms/utils.py'
2025-06-05T23:29:53.1110908Z   adding 'executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py'
2025-06-05T23:29:53.1111244Z   adding 'executorch/backends/transforms/test/test_create_delete_constant_placeholder.py'
2025-06-05T23:29:53.1111547Z   adding 'executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py'
2025-06-05T23:29:53.1111765Z   adding 'executorch/backends/transforms/test/test_rank_0_to_rank_1.py'
2025-06-05T23:29:53.1111908Z   adding 'executorch/backends/vulkan/__init__.py'
2025-06-05T23:29:53.1112104Z   adding 'executorch/backends/vulkan/custom_ops_lib.py'
2025-06-05T23:29:53.1112266Z   adding 'executorch/backends/vulkan/op_registry.py'
2025-06-05T23:29:53.1112418Z   adding 'executorch/backends/vulkan/utils.py'
2025-06-05T23:29:53.1112619Z   adding 'executorch/backends/vulkan/vulkan_preprocess.py'
2025-06-05T23:29:53.1112825Z   adding 'executorch/backends/vulkan/_passes/__init__.py'
2025-06-05T23:29:53.1113086Z   adding 'executorch/backends/vulkan/_passes/fuse_quantized_ops.py'
2025-06-05T23:29:53.1113294Z   adding 'executorch/backends/vulkan/_passes/insert_prepack_nodes.py'
2025-06-05T23:29:53.1113543Z   adding 'executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py'
2025-06-05T23:29:53.1113775Z   adding 'executorch/backends/vulkan/_passes/remove_asserts.py'
2025-06-05T23:29:53.1114023Z   adding 'executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py'
2025-06-05T23:29:53.1114272Z   adding 'executorch/backends/vulkan/_passes/remove_redundant_ops.py'
2025-06-05T23:29:53.1114580Z   adding 'executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py'
2025-06-05T23:29:53.1114849Z   adding 'executorch/backends/vulkan/_passes/tag_memory_meta_pass.py'
2025-06-05T23:29:53.1115074Z   adding 'executorch/backends/vulkan/partitioner/vulkan_partitioner.py'
2025-06-05T23:29:53.1387776Z   adding 'executorch/backends/vulkan/quantizer/vulkan_quantizer.py'
2025-06-05T23:29:53.1388179Z   adding 'executorch/backends/vulkan/runtime/gen_vulkan_spv.py'
2025-06-05T23:29:53.1388517Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml'
2025-06-05T23:29:53.1388826Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml'
2025-06-05T23:29:53.1389140Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml'
2025-06-05T23:29:53.1389498Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml'
2025-06-05T23:29:53.1389940Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml'
2025-06-05T23:29:53.1390229Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml'
2025-06-05T23:29:53.1390512Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml'
2025-06-05T23:29:53.1390890Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml'
2025-06-05T23:29:53.1391170Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml'
2025-06-05T23:29:53.1391502Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml'
2025-06-05T23:29:53.1391735Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml'
2025-06-05T23:29:53.1392015Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml'
2025-06-05T23:29:53.1392313Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml'
2025-06-05T23:29:53.1392613Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml'
2025-06-05T23:29:53.1392924Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml'
2025-06-05T23:29:53.1393305Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml'
2025-06-05T23:29:53.1393622Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml'
2025-06-05T23:29:53.1393999Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml'
2025-06-05T23:29:53.1394239Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml'
2025-06-05T23:29:53.1394496Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw_s1p0.yaml'
2025-06-05T23:29:53.1394787Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml'
2025-06-05T23:29:53.1395139Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml'
2025-06-05T23:29:53.1395424Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml'
2025-06-05T23:29:53.1395688Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml'
2025-06-05T23:29:53.1395983Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml'
2025-06-05T23:29:53.1396222Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml'
2025-06-05T23:29:53.1396450Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml'
2025-06-05T23:29:53.1396664Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml'
2025-06-05T23:29:53.1396910Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml'
2025-06-05T23:29:53.1397261Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml'
2025-06-05T23:29:53.1397634Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml'
2025-06-05T23:29:53.1397962Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml'
2025-06-05T23:29:53.1398276Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml'
2025-06-05T23:29:53.1398616Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw.yaml'
2025-06-05T23:29:53.1398894Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_coop.yaml'
2025-06-05T23:29:53.1399185Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_tiled.yaml'
2025-06-05T23:29:53.1399464Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_coop.yaml'
2025-06-05T23:29:53.1399739Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_tiled.yaml'
2025-06-05T23:29:53.1399995Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml'
2025-06-05T23:29:53.1400269Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml'
2025-06-05T23:29:53.1400626Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml'
2025-06-05T23:29:53.1400948Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml'
2025-06-05T23:29:53.1401261Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml'
2025-06-05T23:29:53.1401526Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml'
2025-06-05T23:29:53.1401954Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pack_int4_linear_weight_transposed_interleaved.yaml'
2025-06-05T23:29:53.1402315Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml'
2025-06-05T23:29:53.1402593Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml'
2025-06-05T23:29:53.1402828Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml'
2025-06-05T23:29:53.1403063Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml'
2025-06-05T23:29:53.1403281Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat.yaml'
2025-06-05T23:29:53.1403543Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml'
2025-06-05T23:29:53.1403839Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml'
2025-06-05T23:29:53.1404111Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml'
2025-06-05T23:29:53.1404488Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml'
2025-06-05T23:29:53.1404845Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml'
2025-06-05T23:29:53.1405060Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/tan.yaml'
2025-06-05T23:29:53.1405326Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_buffer.yaml'
2025-06-05T23:29:53.1405652Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_texture.yaml'
2025-06-05T23:29:53.1405898Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml'
2025-06-05T23:29:53.1406144Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_2d.yaml'
2025-06-05T23:29:53.1406388Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/var_buffer.yaml'
2025-06-05T23:29:53.1406654Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/var_texture3d.yaml'
2025-06-05T23:29:53.1406866Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml'
2025-06-05T23:29:53.1407083Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/where.yaml'
2025-06-05T23:29:53.1407283Z   adding 'executorch/backends/vulkan/serialization/schema.fbs'
2025-06-05T23:29:53.1407525Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_builder.py'
2025-06-05T23:29:53.1407760Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_schema.py'
2025-06-05T23:29:53.1408024Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_serialize.py'
2025-06-05T23:29:53.1408246Z   adding 'executorch/backends/vulkan/test/test_serialization.py'
2025-06-05T23:29:53.1408490Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate.py'
2025-06-05T23:29:53.1408765Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate_header.py'
2025-06-05T23:29:53.1408997Z   adding 'executorch/backends/vulkan/test/test_vulkan_passes.py'
2025-06-05T23:29:53.1409181Z   adding 'executorch/backends/vulkan/test/glsl/all_shaders.yaml'
2025-06-05T23:29:53.1409470Z   adding 'executorch/backends/vulkan/test/glsl/dynamic_dispatch_test.yaml'
2025-06-05T23:29:53.1409735Z   adding 'executorch/backends/vulkan/test/glsl/reference_matmul_common.yaml'
2025-06-05T23:29:53.1409934Z   adding 'executorch/backends/vulkan/test/op_tests/cases.py'
2025-06-05T23:29:53.1410264Z   adding 'executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py'
2025-06-05T23:29:53.1410551Z   adding 'executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py'
2025-06-05T23:29:53.1410765Z   adding 'executorch/backends/vulkan/test/op_tests/utils/aten_types.py'
2025-06-05T23:29:53.1411060Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py'
2025-06-05T23:29:53.1411392Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py'
2025-06-05T23:29:53.1411653Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py'
2025-06-05T23:29:53.1411902Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py'
2025-06-05T23:29:53.1412115Z   adding 'executorch/backends/vulkan/test/op_tests/utils/test_suite.py'
2025-06-05T23:29:53.1412478Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py'
2025-06-05T23:29:53.1412816Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py'
2025-06-05T23:29:53.1413255Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py'
2025-06-05T23:29:53.1413595Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py'
2025-06-05T23:29:53.1413876Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py'
2025-06-05T23:29:53.1414196Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py'
2025-06-05T23:29:53.1414517Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py'
2025-06-05T23:29:53.1414842Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py'
2025-06-05T23:29:53.1415400Z   adding 'executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py'
2025-06-05T23:29:53.1415657Z   adding 'executorch/backends/vulkan/third-party/volk/generate.py'
2025-06-05T23:29:53.1415897Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml'
2025-06-05T23:29:53.1416219Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml'
2025-06-05T23:29:53.1416486Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml'
2025-06-05T23:29:53.1416722Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml'
2025-06-05T23:29:53.1417000Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml'
2025-06-05T23:29:53.1417217Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml'
2025-06-05T23:29:53.1740324Z   adding 'executorch/backends/xnnpack/__init__.py'
2025-06-05T23:29:53.1740686Z   adding 'executorch/backends/xnnpack/xnnpack_preprocess.py'
2025-06-05T23:29:53.1741099Z   adding 'executorch/backends/xnnpack/_passes/__init__.py'
2025-06-05T23:29:53.1741408Z   adding 'executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py'
2025-06-05T23:29:53.1741663Z   adding 'executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py'
2025-06-05T23:29:53.1741919Z   adding 'executorch/backends/xnnpack/_passes/convert_to_linear.py'
2025-06-05T23:29:53.1742113Z   adding 'executorch/backends/xnnpack/_passes/convert_to_sdpa.py'
2025-06-05T23:29:53.1742457Z   adding 'executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py'
2025-06-05T23:29:53.1742671Z   adding 'executorch/backends/xnnpack/_passes/decompose_cat.py'
2025-06-05T23:29:53.1742886Z   adding 'executorch/backends/xnnpack/_passes/fuse_activation_pass.py'
2025-06-05T23:29:53.1743302Z   adding 'executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py'
2025-06-05T23:29:53.1743549Z   adding 'executorch/backends/xnnpack/_passes/prelu_reshape_pass.py'
2025-06-05T23:29:53.1743826Z   adding 'executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py'
2025-06-05T23:29:53.1744069Z   adding 'executorch/backends/xnnpack/_passes/xnnpack_pass.py'
2025-06-05T23:29:53.1744339Z   adding 'executorch/backends/xnnpack/operators/__init__.py'
2025-06-05T23:29:53.1744544Z   adding 'executorch/backends/xnnpack/operators/node_visitor.py'
2025-06-05T23:29:53.1744764Z   adding 'executorch/backends/xnnpack/operators/op_abs.py'
2025-06-05T23:29:53.1744923Z   adding 'executorch/backends/xnnpack/operators/op_add.py'
2025-06-05T23:29:53.1745135Z   adding 'executorch/backends/xnnpack/operators/op_addmm.py'
2025-06-05T23:29:53.1745500Z   adding 'executorch/backends/xnnpack/operators/op_avg_pooling2d.py'
2025-06-05T23:29:53.1745753Z   adding 'executorch/backends/xnnpack/operators/op_bmm.py'
2025-06-05T23:29:53.1745939Z   adding 'executorch/backends/xnnpack/operators/op_cat.py'
2025-06-05T23:29:53.1746128Z   adding 'executorch/backends/xnnpack/operators/op_ceiling.py'
2025-06-05T23:29:53.1746330Z   adding 'executorch/backends/xnnpack/operators/op_clamp.py'
2025-06-05T23:29:53.1746505Z   adding 'executorch/backends/xnnpack/operators/op_conv2d.py'
2025-06-05T23:29:53.1746835Z   adding 'executorch/backends/xnnpack/operators/op_div.py'
2025-06-05T23:29:53.1747143Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py'
2025-06-05T23:29:53.1747486Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py'
2025-06-05T23:29:53.1747661Z   adding 'executorch/backends/xnnpack/operators/op_elu.py'
2025-06-05T23:29:53.1747877Z   adding 'executorch/backends/xnnpack/operators/op_exp.py'
2025-06-05T23:29:53.1748049Z   adding 'executorch/backends/xnnpack/operators/op_floor.py'
2025-06-05T23:29:53.1748226Z   adding 'executorch/backends/xnnpack/operators/op_gelu.py'
2025-06-05T23:29:53.1748415Z   adding 'executorch/backends/xnnpack/operators/op_hardswish.py'
2025-06-05T23:29:53.1748595Z   adding 'executorch/backends/xnnpack/operators/op_hardtanh.py'
2025-06-05T23:29:53.1748789Z   adding 'executorch/backends/xnnpack/operators/op_leaky_relu.py'
2025-06-05T23:29:53.1749042Z   adding 'executorch/backends/xnnpack/operators/op_linear.py'
2025-06-05T23:29:53.1749250Z   adding 'executorch/backends/xnnpack/operators/op_log.py'
2025-06-05T23:29:53.1749580Z   adding 'executorch/backends/xnnpack/operators/op_matrix_multiplication.py'
2025-06-05T23:29:53.1749862Z   adding 'executorch/backends/xnnpack/operators/op_max_dim.py'
2025-06-05T23:29:53.1750064Z   adding 'executorch/backends/xnnpack/operators/op_max_pool2d.py'
2025-06-05T23:29:53.1750269Z   adding 'executorch/backends/xnnpack/operators/op_maximum.py'
2025-06-05T23:29:53.1750503Z   adding 'executorch/backends/xnnpack/operators/op_mean_dim.py'
2025-06-05T23:29:53.1750680Z   adding 'executorch/backends/xnnpack/operators/op_minimum.py'
2025-06-05T23:29:53.1750865Z   adding 'executorch/backends/xnnpack/operators/op_multiply.py'
2025-06-05T23:29:53.1751037Z   adding 'executorch/backends/xnnpack/operators/op_negate.py'
2025-06-05T23:29:53.1751228Z   adding 'executorch/backends/xnnpack/operators/op_permute.py'
2025-06-05T23:29:53.1751433Z   adding 'executorch/backends/xnnpack/operators/op_prelu.py'
2025-06-05T23:29:53.1751687Z   adding 'executorch/backends/xnnpack/operators/op_quant_dequant.py'
2025-06-05T23:29:53.1751947Z   adding 'executorch/backends/xnnpack/operators/op_relu.py'
2025-06-05T23:29:53.1752171Z   adding 'executorch/backends/xnnpack/operators/op_rsqrt.py'
2025-06-05T23:29:53.1752335Z   adding 'executorch/backends/xnnpack/operators/op_sdpa.py'
2025-06-05T23:29:53.1752564Z   adding 'executorch/backends/xnnpack/operators/op_sigmoid.py'
2025-06-05T23:29:53.1752753Z   adding 'executorch/backends/xnnpack/operators/op_skip_ops.py'
2025-06-05T23:29:53.1752944Z   adding 'executorch/backends/xnnpack/operators/op_slice_copy.py'
2025-06-05T23:29:53.1753165Z   adding 'executorch/backends/xnnpack/operators/op_softmax.py'
2025-06-05T23:29:53.1753346Z   adding 'executorch/backends/xnnpack/operators/op_square.py'
2025-06-05T23:29:53.1753542Z   adding 'executorch/backends/xnnpack/operators/op_square_root.py'
2025-06-05T23:29:53.1753754Z   adding 'executorch/backends/xnnpack/operators/op_squeeze.py'
2025-06-05T23:29:53.1754048Z   adding 'executorch/backends/xnnpack/operators/op_static_constant_pad.py'
2025-06-05T23:29:53.1754378Z   adding 'executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py'
2025-06-05T23:29:53.1754613Z   adding 'executorch/backends/xnnpack/operators/op_sub.py'
2025-06-05T23:29:53.1754801Z   adding 'executorch/backends/xnnpack/operators/op_to_copy.py'
2025-06-05T23:29:53.1755042Z   adding 'executorch/backends/xnnpack/operators/quant_params.py'
2025-06-05T23:29:53.1755251Z   adding 'executorch/backends/xnnpack/partition/configs.py'
2025-06-05T23:29:53.1755490Z   adding 'executorch/backends/xnnpack/partition/xnnpack_partitioner.py'
2025-06-05T23:29:53.1755704Z   adding 'executorch/backends/xnnpack/partition/config/__init__.py'
2025-06-05T23:29:53.1755922Z   adding 'executorch/backends/xnnpack/partition/config/gemm_configs.py'
2025-06-05T23:29:53.1756264Z   adding 'executorch/backends/xnnpack/partition/config/generic_node_configs.py'
2025-06-05T23:29:53.1756672Z   adding 'executorch/backends/xnnpack/partition/config/node_configs.py'
2025-06-05T23:29:53.1756968Z   adding 'executorch/backends/xnnpack/partition/config/quant_affine_configs.py'
2025-06-05T23:29:53.1757203Z   adding 'executorch/backends/xnnpack/partition/config/xnnpack_config.py'
2025-06-05T23:29:53.1757436Z   adding 'executorch/backends/xnnpack/partition/graphs/bilinear_2d.py'
2025-06-05T23:29:53.1757620Z   adding 'executorch/backends/xnnpack/partition/graphs/sdpa.py'
2025-06-05T23:29:53.1757838Z   adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py'
2025-06-05T23:29:53.1758091Z   adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py'
2025-06-05T23:29:53.1758352Z   adding 'executorch/backends/xnnpack/serialization/runtime_schema.fbs'
2025-06-05T23:29:53.1758645Z   adding 'executorch/backends/xnnpack/serialization/schema.fbs'
2025-06-05T23:29:53.1758996Z   adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py'
2025-06-05T23:29:53.1759366Z   adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py'
2025-06-05T23:29:53.1759617Z   adding 'executorch/backends/xnnpack/test/test_xnnpack_utils.py'
2025-06-05T23:29:53.1759845Z   adding 'executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py'
2025-06-05T23:29:53.1760048Z   adding 'executorch/backends/xnnpack/test/models/deeplab_v3.py'
2025-06-05T23:29:53.1760250Z   adding 'executorch/backends/xnnpack/test/models/edsr.py'
2025-06-05T23:29:53.1760579Z   adding 'executorch/backends/xnnpack/test/models/emformer_rnnt.py'
2025-06-05T23:29:53.1760902Z   adding 'executorch/backends/xnnpack/test/models/inception_v3.py'
2025-06-05T23:29:53.1761103Z   adding 'executorch/backends/xnnpack/test/models/inception_v4.py'
2025-06-05T23:29:53.1761365Z   adding 'executorch/backends/xnnpack/test/models/llama2_et_example.py'
2025-06-05T23:29:53.1761568Z   adding 'executorch/backends/xnnpack/test/models/mobilebert.py'
2025-06-05T23:29:53.1761768Z   adding 'executorch/backends/xnnpack/test/models/mobilenet_v2.py'
2025-06-05T23:29:53.1761968Z   adding 'executorch/backends/xnnpack/test/models/mobilenet_v3.py'
2025-06-05T23:29:53.1762138Z   adding 'executorch/backends/xnnpack/test/models/resnet.py'
2025-06-05T23:29:53.1762363Z   adding 'executorch/backends/xnnpack/test/models/torchvision_vit.py'
2025-06-05T23:29:53.1762568Z   adding 'executorch/backends/xnnpack/test/models/very_big_model.py'
2025-06-05T23:29:53.1762727Z   adding 'executorch/backends/xnnpack/test/models/w2l.py'
2025-06-05T23:29:53.1762940Z   adding 'executorch/backends/xnnpack/test/ops/test_abs.py'
2025-06-05T23:29:53.1763143Z   adding 'executorch/backends/xnnpack/test/ops/test_add.py'
2025-06-05T23:29:53.1763489Z   adding 'executorch/backends/xnnpack/test/ops/test_avgpool2d.py'
2025-06-05T23:29:53.1763883Z   adding 'executorch/backends/xnnpack/test/ops/test_bilinear2d.py'
2025-06-05T23:29:53.1764050Z   adding 'executorch/backends/xnnpack/test/ops/test_bmm.py'
2025-06-05T23:29:53.1764212Z   adding 'executorch/backends/xnnpack/test/ops/test_cat.py'
2025-06-05T23:29:53.1764394Z   adding 'executorch/backends/xnnpack/test/ops/test_ceil.py'
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2025-06-05T23:29:53.1765401Z   adding 'executorch/backends/xnnpack/test/ops/test_div.py'
2025-06-05T23:29:53.1765647Z   adding 'executorch/backends/xnnpack/test/ops/test_elu.py'
2025-06-05T23:29:53.1765843Z   adding 'executorch/backends/xnnpack/test/ops/test_exp.py'
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2025-06-05T23:29:53.1766269Z   adding 'executorch/backends/xnnpack/test/ops/test_gelu.py'
2025-06-05T23:29:53.1766477Z   adding 'executorch/backends/xnnpack/test/ops/test_hardswish.py'
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2025-06-05T23:29:53.1766887Z   adding 'executorch/backends/xnnpack/test/ops/test_leaky_relu.py'
2025-06-05T23:29:53.1767060Z   adding 'executorch/backends/xnnpack/test/ops/test_linear.py'
2025-06-05T23:29:53.1767232Z   adding 'executorch/backends/xnnpack/test/ops/test_log.py'
2025-06-05T23:29:53.1767397Z   adding 'executorch/backends/xnnpack/test/ops/test_lstm.py'
2025-06-05T23:29:53.1767574Z   adding 'executorch/backends/xnnpack/test/ops/test_max_dim.py'
2025-06-05T23:29:53.1767764Z   adding 'executorch/backends/xnnpack/test/ops/test_maximum.py'
2025-06-05T23:29:53.1767957Z   adding 'executorch/backends/xnnpack/test/ops/test_maxpool2d.py'
2025-06-05T23:29:53.1768138Z   adding 'executorch/backends/xnnpack/test/ops/test_mean_dim.py'
2025-06-05T23:29:53.1768325Z   adding 'executorch/backends/xnnpack/test/ops/test_minimum.py'
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2025-06-05T23:29:53.1768781Z   adding 'executorch/backends/xnnpack/test/ops/test_negate.py'
2025-06-05T23:29:53.1769028Z   adding 'executorch/backends/xnnpack/test/ops/test_permute.py'
2025-06-05T23:29:53.2006702Z   adding 'executorch/backends/xnnpack/test/ops/test_pow.py'
2025-06-05T23:29:53.2006980Z   adding 'executorch/backends/xnnpack/test/ops/test_prelu.py'
2025-06-05T23:29:53.2007436Z   adding 'executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py'
2025-06-05T23:29:53.2007774Z   adding 'executorch/backends/xnnpack/test/ops/test_relu.py'
2025-06-05T23:29:53.2007976Z   adding 'executorch/backends/xnnpack/test/ops/test_rsqrt.py'
2025-06-05T23:29:53.2008148Z   adding 'executorch/backends/xnnpack/test/ops/test_sdpa.py'
2025-06-05T23:29:53.2008341Z   adding 'executorch/backends/xnnpack/test/ops/test_sigmoid.py'
2025-06-05T23:29:53.2008721Z   adding 'executorch/backends/xnnpack/test/ops/test_slice_copy.py'
2025-06-05T23:29:53.2008999Z   adding 'executorch/backends/xnnpack/test/ops/test_softmax.py'
2025-06-05T23:29:53.2009246Z   adding 'executorch/backends/xnnpack/test/ops/test_sqrt.py'
2025-06-05T23:29:53.2009487Z   adding 'executorch/backends/xnnpack/test/ops/test_square.py'
2025-06-05T23:29:53.2009764Z   adding 'executorch/backends/xnnpack/test/ops/test_static_constant_pad.py'
2025-06-05T23:29:53.2009958Z   adding 'executorch/backends/xnnpack/test/ops/test_sub.py'
2025-06-05T23:29:53.2010209Z   adding 'executorch/backends/xnnpack/test/passes/test_activation_fusion.py'
2025-06-05T23:29:53.2010460Z   adding 'executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py'
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2025-06-05T23:29:53.2012578Z   adding 'executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py'
2025-06-05T23:29:53.2012824Z   adding 'executorch/backends/xnnpack/test/quantizer/test_representation.py'
2025-06-05T23:29:53.2013172Z   adding 'executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py'
2025-06-05T23:29:53.2013435Z   adding 'executorch/backends/xnnpack/test/serialization/test_serialization.py'
2025-06-05T23:29:53.2013785Z   adding 'executorch/backends/xnnpack/test/serialization/test_xnnheader.py'
2025-06-05T23:29:53.2014050Z   adding 'executorch/backends/xnnpack/test/tester/__init__.py'
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2025-06-05T23:29:53.2014700Z   adding 'executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py'
2025-06-05T23:29:53.2014957Z   adding 'executorch/backends/xnnpack/third-party/FP16/configure.py'
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2025-06-05T23:29:53.2016255Z   adding 'executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py'
2025-06-05T23:29:53.2016484Z   adding 'executorch/backends/xnnpack/third-party/FXdiv/configure.py'
2025-06-05T23:29:53.2016759Z   adding 'executorch/backends/xnnpack/third-party/FXdiv/confu.yaml'
2025-06-05T23:29:53.2017119Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_config.py'
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2025-06-05T23:29:53.2017926Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py'
2025-06-05T23:29:53.2018213Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py'
2025-06-05T23:29:53.2018494Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml'
2025-06-05T23:29:53.2018787Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml'
2025-06-05T23:29:53.2019062Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml'
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2025-06-05T23:29:53.2022219Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml'
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2025-06-05T23:29:53.2023938Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml'
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2025-06-05T23:29:53.4875303Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml'
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2025-06-05T23:29:53.4876669Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml'
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2025-06-05T23:29:53.4879890Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml'
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2025-06-05T23:29:53.4891271Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml'
2025-06-05T23:29:53.4891924Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml'
2025-06-05T23:29:53.4892543Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml'
2025-06-05T23:29:53.4893234Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml'
2025-06-05T23:29:53.4893807Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml'
2025-06-05T23:29:53.4894496Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py'
2025-06-05T23:29:53.4895352Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py'
2025-06-05T23:29:53.4896228Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py'
2025-06-05T23:29:53.4897049Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py'
2025-06-05T23:29:53.4897860Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py'
2025-06-05T23:29:53.4898859Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py'
2025-06-05T23:29:53.4899597Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py'
2025-06-05T23:29:53.4900350Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py'
2025-06-05T23:29:53.4901136Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py'
2025-06-05T23:29:53.4902165Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py'
2025-06-05T23:29:53.4902891Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py'
2025-06-05T23:29:53.4903634Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py'
2025-06-05T23:29:53.4904537Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py'
2025-06-05T23:29:53.4905477Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py'
2025-06-05T23:29:53.4906348Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py'
2025-06-05T23:29:53.4907082Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py'
2025-06-05T23:29:53.4908012Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py'
2025-06-05T23:29:53.4908805Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py'
2025-06-05T23:29:53.4909514Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py'
2025-06-05T23:29:53.4910423Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py'
2025-06-05T23:29:53.4911263Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py'
2025-06-05T23:29:53.4912216Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py'
2025-06-05T23:29:53.4913096Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py'
2025-06-05T23:29:53.4913745Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py'
2025-06-05T23:29:53.4914505Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py'
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2025-06-05T23:29:53.4915942Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py'
2025-06-05T23:29:53.4916532Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/configure.py'
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2025-06-05T23:29:53.4919243Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py'
2025-06-05T23:29:53.4920009Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py'
2025-06-05T23:29:53.4920760Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py'
2025-06-05T23:29:53.4921434Z   adding 'executorch/backends/xnnpack/third-party/pthreadpool/configure.py'
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2025-06-05T23:29:53.4923158Z   adding 'executorch/backends/xnnpack/utils/quant_utils.py'
2025-06-05T23:29:53.4923567Z   adding 'executorch/backends/xnnpack/utils/utils.py'
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2025-06-05T23:29:53.4924443Z   adding 'executorch/codegen/__init__.py'
2025-06-05T23:29:53.4924769Z   adding 'executorch/codegen/gen.py'
2025-06-05T23:29:53.4925065Z   adding 'executorch/codegen/model.py'
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2025-06-05T23:29:53.4926058Z   adding 'executorch/codegen/api/custom_ops.py'
2025-06-05T23:29:53.4926412Z   adding 'executorch/codegen/api/et_cpp.py'
2025-06-05T23:29:53.4926747Z   adding 'executorch/codegen/api/unboxing.py'
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2025-06-05T23:29:53.4928357Z   adding 'executorch/codegen/test/test_executorch_custom_ops.py'
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2025-06-05T23:29:53.4929608Z   adding 'executorch/codegen/test/test_executorch_signatures.py'
2025-06-05T23:29:53.4930137Z   adding 'executorch/codegen/test/test_executorch_types.py'
2025-06-05T23:29:53.4930599Z   adding 'executorch/codegen/test/test_executorch_unboxing.py'
2025-06-05T23:29:53.4931046Z   adding 'executorch/codegen/test/test_selective_build.py'
2025-06-05T23:29:53.4931448Z   adding 'executorch/codegen/tools/__init__.py'
2025-06-05T23:29:53.4931816Z   adding 'executorch/codegen/tools/gen_all_oplist.py'
2025-06-05T23:29:53.4932300Z   adding 'executorch/codegen/tools/gen_oplist.py'
2025-06-05T23:29:53.4932665Z   adding 'executorch/codegen/tools/gen_ops_def.py'
2025-06-05T23:29:53.4933283Z   adding 'executorch/codegen/tools/gen_selected_op_variants.py'
2025-06-05T23:29:53.4933832Z   adding 'executorch/codegen/tools/merge_yaml.py'
2025-06-05T23:29:53.4934194Z   adding 'executorch/codegen/tools/yaml_util.py'
2025-06-05T23:29:53.4934619Z   adding 'executorch/codegen/tools/test/test_gen_all_oplist.py'
2025-06-05T23:29:53.4935163Z   adding 'executorch/codegen/tools/test/test_gen_oplist.py'
2025-06-05T23:29:53.4935825Z   adding 'executorch/codegen/tools/test/test_gen_oplist_real_model.py'
2025-06-05T23:29:53.4936377Z   adding 'executorch/codegen/tools/test/test_gen_selected_op_variants.py'
2025-06-05T23:29:53.4936844Z   adding 'executorch/data/bin/__init__.py'
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2025-06-05T23:29:53.4939520Z   adding 'executorch/devtools/bundled_program/config.py'
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2025-06-05T23:29:53.4943905Z   adding 'executorch/devtools/bundled_program/serialize/__init__.py'
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2025-06-05T23:29:53.4947090Z   adding 'executorch/devtools/bundled_program/test/test_config.py'
2025-06-05T23:29:53.4947688Z   adding 'executorch/devtools/bundled_program/test/test_end2end.py'
2025-06-05T23:29:53.4948199Z   adding 'executorch/devtools/bundled_program/util/test_util.py'
2025-06-05T23:29:53.4948665Z   adding 'executorch/devtools/debug_format/base_schema.py'
2025-06-05T23:29:53.4949086Z   adding 'executorch/devtools/debug_format/et_schema.py'
2025-06-05T23:29:53.4954262Z   adding 'executorch/devtools/etdump/etdump_schema_flatcc.fbs'
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2025-06-05T23:29:53.4956131Z   adding 'executorch/devtools/etdump/tests/serialize_test.py'
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2025-06-05T23:29:53.4957477Z   adding 'executorch/devtools/etrecord/tests/etrecord_test.py'
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2025-06-05T23:29:53.5241505Z   adding 'executorch/devtools/inspector/_inspector_utils.py'
2025-06-05T23:29:53.5242205Z   adding 'executorch/devtools/inspector/_intermediate_output_capturer.py'
2025-06-05T23:29:53.5242789Z   adding 'executorch/devtools/inspector/inspector_cli.py'
2025-06-05T23:29:53.5243445Z   adding 'executorch/devtools/inspector/tests/event_blocks_test.py'
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2025-06-05T23:29:53.5252414Z   adding 'executorch/examples/apple/coreml/llama/export.py'
2025-06-05T23:29:53.5253114Z   adding 'executorch/examples/apple/coreml/llama/llama_transformer.py'
2025-06-05T23:29:53.5253603Z   adding 'executorch/examples/apple/coreml/llama/run.py'
2025-06-05T23:29:53.5254035Z   adding 'executorch/examples/apple/coreml/llama/test.py'
2025-06-05T23:29:53.5254477Z   adding 'executorch/examples/apple/coreml/llama/utils.py'
2025-06-05T23:29:53.5255072Z   adding 'executorch/examples/apple/coreml/scripts/debugger_cli.py'
2025-06-05T23:29:53.5255596Z   adding 'executorch/examples/apple/coreml/scripts/export.py'
2025-06-05T23:29:53.5256135Z   adding 'executorch/examples/apple/coreml/scripts/extract_coreml_models.py'
2025-06-05T23:29:53.5256866Z   adding 'executorch/examples/apple/coreml/scripts/inspector_cli.py'
2025-06-05T23:29:53.5257464Z   adding 'executorch/examples/apple/coreml/scripts/inspector_utils.py'
2025-06-05T23:29:53.5257975Z   adding 'executorch/examples/apple/mps/scripts/bench_utils.py'
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2025-06-05T23:29:53.5258948Z   adding 'executorch/examples/llm_pte_finetuning/__init__.py'
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2025-06-05T23:29:53.5263934Z   adding 'executorch/examples/models/__init__.py'
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2025-06-05T23:29:53.5276640Z   adding 'executorch/examples/models/llama/__init__.py'
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2025-06-05T23:29:53.5278541Z   adding 'executorch/examples/models/llama/export_llama.py'
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2025-06-05T23:29:53.5281120Z   adding 'executorch/examples/models/llama/llama_transformer.py'
2025-06-05T23:29:53.5281668Z   adding 'executorch/examples/models/llama/model.py'
2025-06-05T23:29:53.5282176Z   adding 'executorch/examples/models/llama/model_args.py'
2025-06-05T23:29:53.5282574Z   adding 'executorch/examples/models/llama/norm.py'
2025-06-05T23:29:53.5282966Z   adding 'executorch/examples/models/llama/rope.py'
2025-06-05T23:29:53.5283438Z   adding 'executorch/examples/models/llama/static_attention.py'
2025-06-05T23:29:53.5284029Z   adding 'executorch/examples/models/llama/evaluate/__init__.py'
2025-06-05T23:29:53.5284538Z   adding 'executorch/examples/models/llama/evaluate/eager_eval.py'
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2025-06-05T23:29:53.5287375Z   adding 'executorch/examples/models/llama/runner/eager.py'
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2025-06-05T23:29:53.5289085Z   adding 'executorch/examples/models/llama/source_transformation/__init__.py'
2025-06-05T23:29:53.5289882Z   adding 'executorch/examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py'
2025-06-05T23:29:53.5290579Z   adding 'executorch/examples/models/llama/source_transformation/attention.py'
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2025-06-05T23:29:53.5296124Z   adding 'executorch/examples/models/llama/source_transformation/rope.py'
2025-06-05T23:29:53.5296809Z   adding 'executorch/examples/models/llama/source_transformation/sdpa.py'
2025-06-05T23:29:53.5297493Z   adding 'executorch/examples/models/llama/source_transformation/spin_quant.py'
2025-06-05T23:29:53.5298229Z   adding 'executorch/examples/models/llama/source_transformation/test_attention_sink.py'
2025-06-05T23:29:53.5299100Z   adding 'executorch/examples/models/llama/source_transformation/test_quantized_kv_cache.py'
2025-06-05T23:29:53.5299835Z   adding 'executorch/examples/models/llama/source_transformation/test_quantized_sdpa.py'
2025-06-05T23:29:53.5300594Z   adding 'executorch/examples/models/llama/source_transformation/test_sdpa_with_quantized_kv_cache.py'
2025-06-05T23:29:53.5301340Z   adding 'executorch/examples/models/llama/source_transformation/vulkan_rope.py'
2025-06-05T23:29:53.5302162Z   adding 'executorch/examples/models/llama/tests/test_export_llama_lib.py'
2025-06-05T23:29:53.5302791Z   adding 'executorch/examples/models/llama/tests/test_pre_quantization_transforms.py'
2025-06-05T23:29:53.5303429Z   adding 'executorch/examples/models/llama/tests/test_replace_kv_cache.py'
2025-06-05T23:29:53.5304182Z   adding 'executorch/examples/models/llama/tests/test_ring_attention.py'
2025-06-05T23:29:53.5304745Z   adding 'executorch/examples/models/llama/tests/test_ring_kv_cache.py'
2025-06-05T23:29:53.5305280Z   adding 'executorch/examples/models/llama/tests/test_simple_sdpa.py'
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2025-06-05T23:29:53.5306415Z   adding 'executorch/examples/models/llama/tokenizer/tiktoken.py'
2025-06-05T23:29:53.5307089Z   adding 'executorch/examples/models/llama3_2_vision/__init__.py'
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2025-06-05T23:29:53.5308267Z   adding 'executorch/examples/models/llama3_2_vision/preprocess/export_preprocess.py'
2025-06-05T23:29:53.5309007Z   adding 'executorch/examples/models/llama3_2_vision/preprocess/model.py'
2025-06-05T23:29:53.5309647Z   adding 'executorch/examples/models/llama3_2_vision/preprocess/test_preprocess.py'
2025-06-05T23:29:53.5310254Z   adding 'executorch/examples/models/llama3_2_vision/runner/eager.py'
2025-06-05T23:29:53.5310801Z   adding 'executorch/examples/models/llama3_2_vision/runner/exported.py'
2025-06-05T23:29:53.5311564Z   adding 'executorch/examples/models/llama3_2_vision/runner/generation.py'
2025-06-05T23:29:53.5312128Z   adding 'executorch/examples/models/llama3_2_vision/runner/native.py'
2025-06-05T23:29:53.5312674Z   adding 'executorch/examples/models/llama3_2_vision/text_decoder/model.py'
2025-06-05T23:29:53.5737436Z   adding 'executorch/examples/models/llama3_2_vision/text_decoder/test/__init__.py'
2025-06-05T23:29:53.5738806Z   adding 'executorch/examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py'
2025-06-05T23:29:53.5739487Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/__init__.py'
2025-06-05T23:29:53.5740166Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/model.py'
2025-06-05T23:29:53.5740924Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/__init__.py'
2025-06-05T23:29:53.5741633Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py'
2025-06-05T23:29:53.5742229Z   adding 'executorch/examples/models/llava/__init__.py'
2025-06-05T23:29:53.5742699Z   adding 'executorch/examples/models/llava/export_llava.py'
2025-06-05T23:29:53.5743223Z   adding 'executorch/examples/models/llava/model.py'
2025-06-05T23:29:53.5743644Z   adding 'executorch/examples/models/llava/test/test_llava.py'
2025-06-05T23:29:53.5744167Z   adding 'executorch/examples/models/llava/test/test_pte.py'
2025-06-05T23:29:53.5744680Z   adding 'executorch/examples/models/lstm/__init__.py'
2025-06-05T23:29:53.5745079Z   adding 'executorch/examples/models/lstm/model.py'
2025-06-05T23:29:53.5745496Z   adding 'executorch/examples/models/mobilebert/__init__.py'
2025-06-05T23:29:53.5745925Z   adding 'executorch/examples/models/mobilebert/model.py'
2025-06-05T23:29:53.5746376Z   adding 'executorch/examples/models/mobilenet_v2/__init__.py'
2025-06-05T23:29:53.5746821Z   adding 'executorch/examples/models/mobilenet_v2/model.py'
2025-06-05T23:29:53.5747483Z   adding 'executorch/examples/models/mobilenet_v3/__init__.py'
2025-06-05T23:29:53.5748042Z   adding 'executorch/examples/models/mobilenet_v3/model.py'
2025-06-05T23:29:53.5748492Z   adding 'executorch/examples/models/moshi/mimi/test_mimi.py'
2025-06-05T23:29:53.5748936Z   adding 'executorch/examples/models/phi-3-mini/__init__.py'
2025-06-05T23:29:53.5749383Z   adding 'executorch/examples/models/phi-3-mini/eager.py'
2025-06-05T23:29:53.5749903Z   adding 'executorch/examples/models/phi-3-mini/export_phi-3-mini.py'
2025-06-05T23:29:53.5750402Z   adding 'executorch/examples/models/phi-3-mini/phi_3_mini.py'
2025-06-05T23:29:53.5750880Z   adding 'executorch/examples/models/phi-3-mini/static_cache.py'
2025-06-05T23:29:53.5751393Z   adding 'executorch/examples/models/phi-3-mini-lora/export_model.py'
2025-06-05T23:29:53.5751957Z   adding 'executorch/examples/models/phi_4_mini/__init__.py'
2025-06-05T23:29:53.5752445Z   adding 'executorch/examples/models/phi_4_mini/convert_weights.py'
2025-06-05T23:29:53.5752913Z   adding 'executorch/examples/models/qwen2_5/__init__.py'
2025-06-05T23:29:53.5753375Z   adding 'executorch/examples/models/qwen2_5/convert_weights.py'
2025-06-05T23:29:53.5753818Z   adding 'executorch/examples/models/qwen3/__init__.py'
2025-06-05T23:29:53.5754263Z   adding 'executorch/examples/models/qwen3/convert_weights.py'
2025-06-05T23:29:53.5754714Z   adding 'executorch/examples/models/resnet/__init__.py'
2025-06-05T23:29:53.5755109Z   adding 'executorch/examples/models/resnet/model.py'
2025-06-05T23:29:53.5755517Z   adding 'executorch/examples/models/smollm2/__init__.py'
2025-06-05T23:29:53.5755966Z   adding 'executorch/examples/models/smollm2/convert_weights.py'
2025-06-05T23:29:53.5756416Z   adding 'executorch/examples/models/test/__init__.py'
2025-06-05T23:29:53.5756926Z   adding 'executorch/examples/models/test/test_export.py'
2025-06-05T23:29:53.5757397Z   adding 'executorch/examples/models/torchvision_vit/__init__.py'
2025-06-05T23:29:53.5757889Z   adding 'executorch/examples/models/torchvision_vit/model.py'
2025-06-05T23:29:53.5758339Z   adding 'executorch/examples/models/toy_model/__init__.py'
2025-06-05T23:29:53.5758777Z   adding 'executorch/examples/models/toy_model/model.py'
2025-06-05T23:29:53.5759201Z   adding 'executorch/examples/models/wav2letter/__init__.py'
2025-06-05T23:29:53.5759649Z   adding 'executorch/examples/models/wav2letter/model.py'
2025-06-05T23:29:53.5760083Z   adding 'executorch/exir/__init__.py'
2025-06-05T23:29:53.5760402Z   adding 'executorch/exir/_warnings.py'
2025-06-05T23:29:53.5760706Z   adding 'executorch/exir/common.py'
2025-06-05T23:29:53.5761064Z   adding 'executorch/exir/control_flow.py'
2025-06-05T23:29:53.5761391Z   adding 'executorch/exir/delegate.py'
2025-06-05T23:29:53.5761695Z   adding 'executorch/exir/delegate.pyi'
2025-06-05T23:29:53.5762030Z   adding 'executorch/exir/dim_order_utils.py'
2025-06-05T23:29:53.5762366Z   adding 'executorch/exir/dynamic_shape.py'
2025-06-05T23:29:53.5762696Z   adding 'executorch/exir/error.py'
2025-06-05T23:29:53.5762989Z   adding 'executorch/exir/graph.py'
2025-06-05T23:29:53.5763304Z   adding 'executorch/exir/graph_module.py'
2025-06-05T23:29:53.5763654Z   adding 'executorch/exir/lowered_backend_module.py'
2025-06-05T23:29:53.5764016Z   adding 'executorch/exir/memory.py'
2025-06-05T23:29:53.5764346Z   adding 'executorch/exir/memory_planning.py'
2025-06-05T23:29:53.5764670Z   adding 'executorch/exir/pass_base.py'
2025-06-05T23:29:53.5764993Z   adding 'executorch/exir/pass_manager.py'
2025-06-05T23:29:53.5765317Z   adding 'executorch/exir/print_program.py'
2025-06-05T23:29:53.5765650Z   adding 'executorch/exir/scalar_type.py'
2025-06-05T23:29:53.5765953Z   adding 'executorch/exir/schema.py'
2025-06-05T23:29:53.5766260Z   adding 'executorch/exir/sym_util.py'
2025-06-05T23:29:53.5766551Z   adding 'executorch/exir/tensor.py'
2025-06-05T23:29:53.5766847Z   adding 'executorch/exir/tracer.py'
2025-06-05T23:29:53.5767145Z   adding 'executorch/exir/types.py'
2025-06-05T23:29:53.5767432Z   adding 'executorch/exir/version.py'
2025-06-05T23:29:53.5767798Z   adding 'executorch/exir/wrap.py'
2025-06-05T23:29:53.5768110Z   adding 'executorch/exir/_serialize/__init__.py'
2025-06-05T23:29:53.5768472Z   adding 'executorch/exir/_serialize/_cord.py'
2025-06-05T23:29:53.5768827Z   adding 'executorch/exir/_serialize/_dataclass.py'
2025-06-05T23:29:53.5769215Z   adding 'executorch/exir/_serialize/_flatbuffer.py'
2025-06-05T23:29:53.5769615Z   adding 'executorch/exir/_serialize/_named_data_store.py'
2025-06-05T23:29:53.5770022Z   adding 'executorch/exir/_serialize/_program.py'
2025-06-05T23:29:53.5770415Z   adding 'executorch/exir/_serialize/_serialize.py'
2025-06-05T23:29:53.5770982Z   adding 'executorch/exir/_serialize/data_serializer.py'
2025-06-05T23:29:53.5771450Z   adding 'executorch/exir/_serialize/padding.py'
2025-06-05T23:29:53.5771812Z   adding 'executorch/exir/_serialize/program.fbs'
2025-06-05T23:29:53.5772249Z   adding 'executorch/exir/_serialize/scalar_type.fbs'
2025-06-05T23:29:53.5772635Z   adding 'executorch/exir/_serialize/test/__init__.py'
2025-06-05T23:29:53.5773132Z   adding 'executorch/exir/_serialize/test/test_cord.py'
2025-06-05T23:29:53.5773555Z   adding 'executorch/exir/_serialize/test/test_flatbuffer.py'
2025-06-05T23:29:53.5774041Z   adding 'executorch/exir/_serialize/test/test_named_data_store.py'
2025-06-05T23:29:53.5774516Z   adding 'executorch/exir/_serialize/test/test_program.py'
2025-06-05T23:29:53.5774915Z   adding 'executorch/exir/backend/backend_api.py'
2025-06-05T23:29:53.5775298Z   adding 'executorch/exir/backend/backend_details.py'
2025-06-05T23:29:53.5775701Z   adding 'executorch/exir/backend/compile_spec_schema.py'
2025-06-05T23:29:53.5776127Z   adding 'executorch/exir/backend/operator_support.py'
2025-06-05T23:29:53.5776510Z   adding 'executorch/exir/backend/partitioner.py'
2025-06-05T23:29:53.5776868Z   adding 'executorch/exir/backend/utils.py'
2025-06-05T23:29:53.5777362Z   adding 'executorch/exir/backend/canonical_partitioners/all_node_partitioner.py'
2025-06-05T23:29:53.5778003Z   adding 'executorch/exir/backend/canonical_partitioners/config_partitioner.py'
2025-06-05T23:29:53.5778678Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py'
2025-06-05T23:29:53.5779379Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py'
2025-06-05T23:29:53.5780071Z   adding 'executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py'
2025-06-05T23:29:53.5780706Z   adding 'executorch/exir/backend/test/backend_with_compiler_demo.py'
2025-06-05T23:29:53.5781305Z   adding 'executorch/exir/backend/test/backend_with_delegate_mapping_demo.py'
2025-06-05T23:29:53.5781884Z   adding 'executorch/exir/backend/test/backend_with_named_data_map.py'
2025-06-05T23:29:53.5782439Z   adding 'executorch/exir/backend/test/backend_with_preprocess_all_demo.py'
2025-06-05T23:29:53.5782980Z   adding 'executorch/exir/backend/test/hta_partitioner_demo.py'
2025-06-05T23:29:53.5783445Z   adding 'executorch/exir/backend/test/op_partitioner_demo.py'
2025-06-05T23:29:53.5783912Z   adding 'executorch/exir/backend/test/qnn_backend_demo.py'
2025-06-05T23:29:53.5784412Z   adding 'executorch/exir/backend/test/test_backend_with_named_data_map.py'
2025-06-05T23:29:53.5784920Z   adding 'executorch/exir/backend/test/test_backends.py'
2025-06-05T23:29:53.5785367Z   adding 'executorch/exir/backend/test/test_backends_lifted.py'
2025-06-05T23:29:53.5785832Z   adding 'executorch/exir/backend/test/test_backends_nested.py'
2025-06-05T23:29:53.5786302Z   adding 'executorch/exir/backend/test/test_compatibility.py'
2025-06-05T23:29:53.5786766Z   adding 'executorch/exir/backend/test/test_debug_handle_map.py'
2025-06-05T23:29:53.5787267Z   adding 'executorch/exir/backend/test/test_delegate_map_builder.py'
2025-06-05T23:29:53.5787759Z   adding 'executorch/exir/backend/test/test_graph_partition.py'
2025-06-05T23:29:53.5788271Z   adding 'executorch/exir/backend/test/test_lowered_backend_module.py'
2025-06-05T23:29:53.5788892Z   adding 'executorch/exir/backend/test/test_partitioner.py'
2025-06-05T23:29:53.5789481Z   adding 'executorch/exir/backend/test/test_passes.py'
2025-06-05T23:29:53.5789962Z   adding 'executorch/exir/backend/test/test_to_backend_multi_method.py'
2025-06-05T23:29:53.5790420Z   adding 'executorch/exir/backend/test/test_utils.py'
2025-06-05T23:29:53.5790895Z   adding 'executorch/exir/backend/test/demos/test_delegate_aten_mode.py'
2025-06-05T23:29:53.5791435Z   adding 'executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py'
2025-06-05T23:29:53.5792031Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py'
2025-06-05T23:29:53.5792687Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py'
2025-06-05T23:29:53.5793230Z   adding 'executorch/exir/backend/test/demos/rpc/test_rpc.py'
2025-06-05T23:29:53.5793640Z   adding 'executorch/exir/capture/__init__.py'
2025-06-05T23:29:53.5794023Z   adding 'executorch/exir/capture/_capture.py'
2025-06-05T23:29:53.5794383Z   adding 'executorch/exir/capture/_config.py'
2025-06-05T23:29:53.5794721Z   adding 'executorch/exir/capture/_unlift.py'
2025-06-05T23:29:53.5795126Z   adding 'executorch/exir/dialects/__init__.py'
2025-06-05T23:29:53.5795585Z   adding 'executorch/exir/dialects/_ops.py'
2025-06-05T23:29:53.5795931Z   adding 'executorch/exir/dialects/backend/_ops.py'
2025-06-05T23:29:53.5796383Z   adding 'executorch/exir/dialects/backend/test/test_backend_ops.py'
2025-06-05T23:29:53.5796825Z   adding 'executorch/exir/dialects/edge/_ops.py'
2025-06-05T23:29:53.5797196Z   adding 'executorch/exir/dialects/edge/edge.yaml'
2025-06-05T23:29:53.5797571Z   adding 'executorch/exir/dialects/edge/arg/model.py'
2025-06-05T23:29:53.5798127Z   adding 'executorch/exir/dialects/edge/arg/type.py'
2025-06-05T23:29:53.5798576Z   adding 'executorch/exir/dialects/edge/dtype/runner.py'
2025-06-05T23:29:53.5799013Z   adding 'executorch/exir/dialects/edge/dtype/supported.py'
2025-06-05T23:29:53.5799452Z   adding 'executorch/exir/dialects/edge/dtype/utils.py'
2025-06-05T23:29:53.5799835Z   adding 'executorch/exir/dialects/edge/op/api.py'
2025-06-05T23:29:53.5800392Z   adding 'executorch/exir/dialects/edge/op/sample_input.py'
2025-06-05T23:29:53.5800834Z   adding 'executorch/exir/dialects/edge/op/test/test_api.py'
2025-06-05T23:29:53.5801255Z   adding 'executorch/exir/dialects/edge/spec/gen.py'
2025-06-05T23:29:53.5801638Z   adding 'executorch/exir/dialects/edge/spec/utils.py'
2025-06-05T23:29:53.6480737Z   adding 'executorch/exir/dialects/edge/test/test_edge_ops.py'
2025-06-05T23:29:53.6481587Z   adding 'executorch/exir/dialects/edge/test/test_edge_yaml.py'
2025-06-05T23:29:53.6482624Z   adding 'executorch/exir/dialects/test/test_exir_dialect_ops.py'
2025-06-05T23:29:53.6483062Z   adding 'executorch/exir/emit/__init__.py'
2025-06-05T23:29:53.6483405Z   adding 'executorch/exir/emit/_emit_program.py'
2025-06-05T23:29:53.6483770Z   adding 'executorch/exir/emit/_emitter.py'
2025-06-05T23:29:53.6484122Z   adding 'executorch/exir/emit/test/test_emit.py'
2025-06-05T23:29:53.6484536Z   adding 'executorch/exir/operator/convert.py'
2025-06-05T23:29:53.6484992Z   adding 'executorch/exir/operator/manip.py'
2025-06-05T23:29:53.6485321Z   adding 'executorch/exir/operator/util.py'
2025-06-05T23:29:53.6485711Z   adding 'executorch/exir/operator/test/test_operator.py'
2025-06-05T23:29:53.6486189Z   adding 'executorch/exir/passes/__init__.py'
2025-06-05T23:29:53.6486637Z   adding 'executorch/exir/passes/_quant_patterns_and_replacements.py'
2025-06-05T23:29:53.6487160Z   adding 'executorch/exir/passes/const_prop_pass.py'
2025-06-05T23:29:53.6487608Z   adding 'executorch/exir/passes/constant_prop_pass.py'
2025-06-05T23:29:53.6488183Z   adding 'executorch/exir/passes/debug_handle_generator_pass.py'
2025-06-05T23:29:53.6488644Z   adding 'executorch/exir/passes/dim_order_ops_registry.py'
2025-06-05T23:29:53.6489098Z   adding 'executorch/exir/passes/dynamic_shape_prop_pass.py'
2025-06-05T23:29:53.6489621Z   adding 'executorch/exir/passes/executorch_prim_ops_registry.py'
2025-06-05T23:29:53.6490269Z   adding 'executorch/exir/passes/external_constants_pass.py'
2025-06-05T23:29:53.6490827Z   adding 'executorch/exir/passes/init_mutable_pass.py'
2025-06-05T23:29:53.6491298Z   adding 'executorch/exir/passes/insert_write_back_for_buffers_pass.py'
2025-06-05T23:29:53.6491801Z   adding 'executorch/exir/passes/memory_format_ops_pass.py'
2025-06-05T23:29:53.6492270Z   adding 'executorch/exir/passes/memory_planning_pass.py'
2025-06-05T23:29:53.6492834Z   adding 'executorch/exir/passes/normalize_transpose_pass.py'
2025-06-05T23:29:53.6493390Z   adding 'executorch/exir/passes/normalize_view_copy_base_pass.py'
2025-06-05T23:29:53.6493861Z   adding 'executorch/exir/passes/pass_registry.py'
2025-06-05T23:29:53.6494306Z   adding 'executorch/exir/passes/prune_empty_tensors_pass.py'
2025-06-05T23:29:53.6494904Z   adding 'executorch/exir/passes/quant_fusion_pass.py'
2025-06-05T23:29:53.6495304Z   adding 'executorch/exir/passes/quantize_io_pass.py'
2025-06-05T23:29:53.6495845Z   adding 'executorch/exir/passes/remove_graph_asserts_pass.py'
2025-06-05T23:29:53.6496451Z   adding 'executorch/exir/passes/remove_mixed_type_operators.py'
2025-06-05T23:29:53.6497045Z   adding 'executorch/exir/passes/remove_noop_pass.py'
2025-06-05T23:29:53.6497624Z   adding 'executorch/exir/passes/remove_unused_parameters_pass.py'
2025-06-05T23:29:53.6498193Z   adding 'executorch/exir/passes/replace_aten_with_edge_pass.py'
2025-06-05T23:29:53.6498790Z   adding 'executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py'
2025-06-05T23:29:53.6499373Z   adding 'executorch/exir/passes/replace_edge_with_backend_pass.py'
2025-06-05T23:29:53.6499888Z   adding 'executorch/exir/passes/replace_sym_size_op_pass.py'
2025-06-05T23:29:53.6500503Z   adding 'executorch/exir/passes/replace_view_copy_with_view_pass.py'
2025-06-05T23:29:53.6500981Z   adding 'executorch/exir/passes/scalar_to_tensor_pass.py'
2025-06-05T23:29:53.6501391Z   adding 'executorch/exir/passes/spec_prop_pass.py'
2025-06-05T23:29:53.6501788Z   adding 'executorch/exir/passes/sym_shape_eval_pass.py'
2025-06-05T23:29:53.6502213Z   adding 'executorch/exir/passes/sym_to_tensor_pass.py'
2025-06-05T23:29:53.6502683Z   adding 'executorch/exir/passes/weights_to_outputs_pass.py'
2025-06-05T23:29:53.6503164Z   adding 'executorch/exir/program/__init__.py'
2025-06-05T23:29:53.6503536Z   adding 'executorch/exir/program/_fake_program.py'
2025-06-05T23:29:53.6503901Z   adding 'executorch/exir/program/_program.py'
2025-06-05T23:29:53.6504389Z   adding 'executorch/exir/program/test/__init__.py'
2025-06-05T23:29:53.6504798Z   adding 'executorch/exir/program/test/test_fake_program.py'
2025-06-05T23:29:53.6505281Z   adding 'executorch/exir/program/test/test_program.py'
2025-06-05T23:29:53.6505704Z   adding 'executorch/exir/serde/__init__.py'
2025-06-05T23:29:53.6506092Z   adding 'executorch/exir/serde/export_serialize.py'
2025-06-05T23:29:53.6506539Z   adding 'executorch/exir/serde/schema.py'
2025-06-05T23:29:53.6506879Z   adding 'executorch/exir/serde/schema_check.py'
2025-06-05T23:29:53.6507242Z   adding 'executorch/exir/serde/serialize.py'
2025-06-05T23:29:53.6507573Z   adding 'executorch/exir/serde/union.py'
2025-06-05T23:29:53.6507947Z   adding 'executorch/exir/tests/asr_joiner.py'
2025-06-05T23:29:53.6508316Z   adding 'executorch/exir/tests/common.py'
2025-06-05T23:29:53.6508733Z   adding 'executorch/exir/tests/control_flow_models.py'
2025-06-05T23:29:53.6509147Z   adding 'executorch/exir/tests/dynamic_shape_models.py'
2025-06-05T23:29:53.6509519Z   adding 'executorch/exir/tests/models.py'
2025-06-05T23:29:53.6509929Z   adding 'executorch/exir/tests/test_arg_validator.py'
2025-06-05T23:29:53.6510398Z   adding 'executorch/exir/tests/test_capture.py'
2025-06-05T23:29:53.6510761Z   adding 'executorch/exir/tests/test_common.py'
2025-06-05T23:29:53.6511111Z   adding 'executorch/exir/tests/test_delegate.py'
2025-06-05T23:29:53.6511504Z   adding 'executorch/exir/tests/test_dim_order_utils.py'
2025-06-05T23:29:53.6511996Z   adding 'executorch/exir/tests/test_dynamic_shape_propagation.py'
2025-06-05T23:29:53.6512519Z   adding 'executorch/exir/tests/test_error.py'
2025-06-05T23:29:53.6512934Z   adding 'executorch/exir/tests/test_joint_graph.py'
2025-06-05T23:29:53.6513355Z   adding 'executorch/exir/tests/test_memory_format_ops_pass.py'
2025-06-05T23:29:53.6513854Z   adding 'executorch/exir/tests/test_memory_format_ops_pass_aten.py'
2025-06-05T23:29:53.6514467Z   adding 'executorch/exir/tests/test_memory_format_ops_pass_utils.py'
2025-06-05T23:29:53.6514992Z   adding 'executorch/exir/tests/test_memory_planning.py'
2025-06-05T23:29:53.6515379Z   adding 'executorch/exir/tests/test_op_convert.py'
2025-06-05T23:29:53.6515759Z   adding 'executorch/exir/tests/test_pass_infra.py'
2025-06-05T23:29:53.6516130Z   adding 'executorch/exir/tests/test_passes.py'
2025-06-05T23:29:53.6516496Z   adding 'executorch/exir/tests/test_print_program.py'
2025-06-05T23:29:53.6516974Z   adding 'executorch/exir/tests/test_prune_empty_tensors_pass.py'
2025-06-05T23:29:53.6517561Z   adding 'executorch/exir/tests/test_quant_fusion_pass.py'
2025-06-05T23:29:53.6517980Z   adding 'executorch/exir/tests/test_quantization.py'
2025-06-05T23:29:53.6518381Z   adding 'executorch/exir/tests/test_quantize_io_pass.py'
2025-06-05T23:29:53.6518868Z   adding 'executorch/exir/tests/test_remove_unused_parameters_pass.py'
2025-06-05T23:29:53.6519356Z   adding 'executorch/exir/tests/test_remove_view_copy.py'
2025-06-05T23:29:53.6519799Z   adding 'executorch/exir/tests/test_serde.py'
2025-06-05T23:29:53.6520251Z   adding 'executorch/exir/tests/test_tensor.py'
2025-06-05T23:29:53.6520596Z   adding 'executorch/exir/tests/test_tracer.py'
2025-06-05T23:29:53.6520977Z   adding 'executorch/exir/tests/test_verification.py'
2025-06-05T23:29:53.6521358Z   adding 'executorch/exir/tests/test_warnings.py'
2025-06-05T23:29:53.6521731Z   adding 'executorch/exir/tests/transformer.py'
2025-06-05T23:29:53.6522119Z   adding 'executorch/exir/verification/arg_validator.py'
2025-06-05T23:29:53.6522528Z   adding 'executorch/exir/verification/dev_html.py'
2025-06-05T23:29:53.6522932Z   adding 'executorch/exir/verification/interpreter.py'
2025-06-05T23:29:53.6523322Z   adding 'executorch/exir/verification/verifier.py'
2025-06-05T23:29:53.6523784Z   adding 'executorch/exir/verification/test/test_verifier.py'
2025-06-05T23:29:53.6524300Z   adding 'executorch/extension/export_util/__init__.py'
2025-06-05T23:29:53.6524701Z   adding 'executorch/extension/export_util/utils.py'
2025-06-05T23:29:53.6525088Z   adding 'executorch/extension/flat_tensor/__init__.py'
2025-06-05T23:29:53.6525587Z   adding 'executorch/extension/flat_tensor/serialize/__init__.py'
2025-06-05T23:29:53.6526088Z   adding 'executorch/extension/flat_tensor/serialize/flat_tensor.fbs'
2025-06-05T23:29:53.6526814Z   adding 'executorch/extension/flat_tensor/serialize/flat_tensor_schema.py'
2025-06-05T23:29:53.6527445Z   adding 'executorch/extension/flat_tensor/serialize/scalar_type.fbs'
2025-06-05T23:29:53.6528050Z   adding 'executorch/extension/flat_tensor/serialize/serialize.py'
2025-06-05T23:29:53.6528741Z   adding 'executorch/extension/flat_tensor/test/test_serialize.py'
2025-06-05T23:29:53.6529216Z   adding 'executorch/extension/gguf_util/convert_main.py'
2025-06-05T23:29:53.6529640Z   adding 'executorch/extension/gguf_util/converter.py'
2025-06-05T23:29:53.6530075Z   adding 'executorch/extension/gguf_util/load_gguf.py'
2025-06-05T23:29:53.6530649Z   adding 'executorch/extension/gguf_util/converters/llama_converter.py'
2025-06-05T23:29:53.6531150Z   adding 'executorch/extension/llm/custom_ops/__init__.py'
2025-06-05T23:29:53.6531585Z   adding 'executorch/extension/llm/custom_ops/custom_ops.py'
2025-06-05T23:29:53.6532093Z   adding 'executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.so'
2025-06-05T23:29:53.6532606Z   adding 'executorch/extension/llm/custom_ops/model_sharding.py'
2025-06-05T23:29:53.6533176Z   adding 'executorch/extension/llm/custom_ops/op_tile_crop_aot.py'
2025-06-05T23:29:53.6533701Z   adding 'executorch/extension/llm/custom_ops/preprocess_custom_ops.py'
2025-06-05T23:29:53.6534327Z   adding 'executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py'
2025-06-05T23:29:53.6535119Z   adding 'executorch/extension/llm/custom_ops/test_quantized_sdpa.py'
2025-06-05T23:29:53.6535656Z   adding 'executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py'
2025-06-05T23:29:53.6536203Z   adding 'executorch/extension/llm/custom_ops/test_update_cache.py'
2025-06-05T23:29:53.6536780Z   adding 'executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py'
2025-06-05T23:29:53.6537501Z   adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py'
2025-06-05T23:29:53.6538243Z   adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py'
2025-06-05T23:29:53.6538757Z   adding 'executorch/extension/llm/export/__init__.py'
2025-06-05T23:29:53.6539156Z   adding 'executorch/extension/llm/export/builder.py'
2025-06-05T23:29:53.6539565Z   adding 'executorch/extension/llm/export/export_passes.py'
2025-06-05T23:29:53.6540083Z   adding 'executorch/extension/llm/export/partitioner_lib.py'
2025-06-05T23:29:53.6540530Z   adding 'executorch/extension/llm/export/quantizer_lib.py'
2025-06-05T23:29:53.6540998Z   adding 'executorch/extension/llm/export/test_export_passes.py'
2025-06-05T23:29:53.6541457Z   adding 'executorch/extension/llm/export/test/__init__.py'
2025-06-05T23:29:53.6541962Z   adding 'executorch/extension/llm/export/test/test_builder.py'
2025-06-05T23:29:53.6542520Z   adding 'executorch/extension/llm/modules/__init__.py'
2025-06-05T23:29:53.6542725Z   adding 'executorch/extension/llm/modules/_position_embeddings.py'
2025-06-05T23:29:53.6542880Z   adding 'executorch/extension/llm/modules/attention.py'
2025-06-05T23:29:53.6543039Z   adding 'executorch/extension/llm/modules/kv_cache.py'
2025-06-05T23:29:53.6543202Z   adding 'executorch/extension/llm/modules/test/__init__.py'
2025-06-05T23:29:53.6543399Z   adding 'executorch/extension/llm/modules/test/test_attention.py'
2025-06-05T23:29:53.6543589Z   adding 'executorch/extension/llm/modules/test/test_kv_cache.py'
2025-06-05T23:29:53.6543840Z   adding 'executorch/extension/llm/modules/test/test_position_embeddings.py'
2025-06-05T23:29:53.6543992Z   adding 'executorch/extension/llm/tokenizers/setup.py'
2025-06-05T23:29:53.6544311Z   adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/__init__.py'
2025-06-05T23:29:54.3701025Z   adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/constants.py'
2025-06-05T23:29:54.3702069Z   adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/hf_tokenizer.py'
2025-06-05T23:29:54.3703029Z   adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/llama2c.py'
2025-06-05T23:29:54.3703814Z   adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tiktoken.py'
2025-06-05T23:29:54.3704569Z   adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/__init__.py'
2025-06-05T23:29:54.3705376Z   adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c/__init__.py'
2025-06-05T23:29:54.3706222Z   adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c/convert.py'
2025-06-05T23:29:54.3706951Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py'
2025-06-05T23:29:54.3707575Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/constants.py'
2025-06-05T23:29:54.3708206Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py'
2025-06-05T23:29:54.3708842Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py'
2025-06-05T23:29:54.3709451Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py'
2025-06-05T23:29:54.3710088Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/__init__.py'
2025-06-05T23:29:54.3710797Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py'
2025-06-05T23:29:54.3711527Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py'
2025-06-05T23:29:54.3712166Z   adding 'executorch/extension/llm/tokenizers/test/test_tiktoken.py'
2025-06-05T23:29:54.3712849Z   adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/conanfile.py'
2025-06-05T23:29:54.3713724Z   adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/create_lts.py'
2025-06-05T23:29:54.3714526Z   adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py'
2025-06-05T23:29:54.3715289Z   adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/copts.py'
2025-06-05T23:29:54.3716066Z   adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/generate_copts.py'
2025-06-05T23:29:54.3716941Z   adding 'executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts/check_structure.py'
2025-06-05T23:29:54.3717973Z   adding 'executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl/filterbr.py'
2025-06-05T23:29:54.3718855Z   adding 'executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate/amalgamate.py'
2025-06-05T23:29:54.3719778Z   adding 'executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py'
2025-06-05T23:29:54.3720806Z   adding 'executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis/generate_natvis.py'
2025-06-05T23:29:54.3721860Z   adding 'executorch/extension/llm/tokenizers/third-party/json/tools/serve_header/serve_header.py'
2025-06-05T23:29:54.3722709Z   adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateCommon.py'
2025-06-05T23:29:54.3723618Z   adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateTest.py'
2025-06-05T23:29:54.3724333Z   adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcd.py'
2025-06-05T23:29:54.3725235Z   adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpHeader.py'
2025-06-05T23:29:54.3726058Z   adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpTables.py'
2025-06-05T23:29:54.3726966Z   adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateCommon.py'
2025-06-05T23:29:54.3727718Z   adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateDates.py'
2025-06-05T23:29:54.3728549Z   adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateRelease.py'
2025-06-05T23:29:54.3729464Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/benchlog/benchplot.py'
2025-06-05T23:29:54.3730209Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/python/re2.py'
2025-06-05T23:29:54.3731002Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/python/re2_test.py'
2025-06-05T23:29:54.3731803Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/python/setup.py'
2025-06-05T23:29:54.3732521Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/python/toolchains/generate.py'
2025-06-05T23:29:54.3733616Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_casefold.py'
2025-06-05T23:29:54.3734571Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_groups.py'
2025-06-05T23:29:54.3735229Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/unicode.py'
2025-06-05T23:29:54.3735896Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/setup.py'
2025-06-05T23:29:54.3736791Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/__init__.py'
2025-06-05T23:29:54.3737858Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/_version.py'
2025-06-05T23:29:54.3738891Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_model_pb2.py'
2025-06-05T23:29:54.3740164Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_pb2.py'
2025-06-05T23:29:54.3741094Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/__init__.py'
2025-06-05T23:29:54.3742163Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/sentencepiece_test.py'
2025-06-05T23:29:54.3742985Z   adding 'executorch/extension/module/test/resources/gen_bundled_program.py'
2025-06-05T23:29:54.3743649Z   adding 'executorch/extension/pybindings/_portable_lib.cpython-310-x86_64-linux-gnu.so'
2025-06-05T23:29:54.3744219Z   adding 'executorch/extension/pybindings/portable_lib.py'
2025-06-05T23:29:54.3744675Z   adding 'executorch/extension/pybindings/pybindings.pyi'
2025-06-05T23:29:54.3745112Z   adding 'executorch/extension/pybindings/test/make_test.py'
2025-06-05T23:29:54.3745698Z   adding 'executorch/extension/pybindings/test/test_backend_pybinding.py'
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2025-06-05T23:29:54.3746829Z   adding 'executorch/extension/pytree/__init__.py'
2025-06-05T23:29:54.3747283Z   adding 'executorch/extension/pytree/test/test.py'
2025-06-05T23:29:54.3747663Z   adding 'executorch/extension/training/__init__.py'
2025-06-05T23:29:54.3748276Z   adding 'executorch/extension/training/examples/XOR/export_model.py'
2025-06-05T23:29:54.3748832Z   adding 'executorch/extension/training/examples/XOR/model.py'
2025-06-05T23:29:54.3749365Z   adding 'executorch/extension/training/examples/XOR/test/test_export.py'
2025-06-05T23:29:54.3749914Z   adding 'executorch/extension/training/pybindings/_training_lib.pyi'
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2025-06-05T23:29:54.3750985Z   adding 'executorch/extension/training/pybindings/test/test.py'
2025-06-05T23:29:54.3751633Z   adding 'executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h'
2025-06-05T23:29:54.3752561Z   adding 'executorch/include/executorch/extension/kernel_util/meta_programming.h'
2025-06-05T23:29:54.3753180Z   adding 'executorch/include/executorch/extension/kernel_util/type_list.h'
2025-06-05T23:29:54.3753737Z   adding 'executorch/include/executorch/extension/tensor/tensor.h'
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2025-06-05T23:29:54.3754855Z   adding 'executorch/include/executorch/extension/tensor/tensor_ptr.h'
2025-06-05T23:29:54.3755432Z   adding 'executorch/include/executorch/extension/tensor/tensor_ptr_maker.h'
2025-06-05T23:29:54.3756032Z   adding 'executorch/include/executorch/extension/threadpool/cpuinfo_utils.h'
2025-06-05T23:29:54.3756696Z   adding 'executorch/include/executorch/extension/threadpool/threadpool.h'
2025-06-05T23:29:54.3757350Z   adding 'executorch/include/executorch/extension/threadpool/threadpool_guard.h'
2025-06-05T23:29:54.3758073Z   adding 'executorch/include/executorch/runtime/core/array_ref.h'
2025-06-05T23:29:54.3758625Z   adding 'executorch/include/executorch/runtime/core/data_loader.h'
2025-06-05T23:29:54.3759134Z   adding 'executorch/include/executorch/runtime/core/defines.h'
2025-06-05T23:29:54.3759608Z   adding 'executorch/include/executorch/runtime/core/error.h'
2025-06-05T23:29:54.3760063Z   adding 'executorch/include/executorch/runtime/core/evalue.h'
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2025-06-05T23:29:54.3761105Z   adding 'executorch/include/executorch/runtime/core/event_tracer_hooks.h'
2025-06-05T23:29:54.3761878Z   adding 'executorch/include/executorch/runtime/core/event_tracer_hooks_delegate.h'
2025-06-05T23:29:54.3762543Z   adding 'executorch/include/executorch/runtime/core/freeable_buffer.h'
2025-06-05T23:29:54.3763091Z   adding 'executorch/include/executorch/runtime/core/function_ref.h'
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2025-06-05T23:29:54.3764253Z   adding 'executorch/include/executorch/runtime/core/memory_allocator.h'
2025-06-05T23:29:54.3764850Z   adding 'executorch/include/executorch/runtime/core/named_data_map.h'
2025-06-05T23:29:54.3765463Z   adding 'executorch/include/executorch/runtime/core/result.h'
2025-06-05T23:29:54.3766002Z   adding 'executorch/include/executorch/runtime/core/span.h'
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2025-06-05T23:29:54.3766925Z   adding 'executorch/include/executorch/runtime/core/tensor_layout.h'
2025-06-05T23:29:54.3767644Z   adding 'executorch/include/executorch/runtime/core/tensor_shape_dynamism.h'
2025-06-05T23:29:54.3768286Z   adding 'executorch/include/executorch/runtime/core/exec_aten/exec_aten.h'
2025-06-05T23:29:54.3768963Z   adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_factory.h'
2025-06-05T23:29:54.3769695Z   adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_util.h'
2025-06-05T23:29:54.3770398Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/dim_order_util.h'
2025-06-05T23:29:54.3771293Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/scalar_type_util.h'
2025-06-05T23:29:55.6096941Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_dimension_limit.h'
2025-06-05T23:29:55.6098372Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_shape_to_c_string.h'
2025-06-05T23:29:55.6099094Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_util.h'
2025-06-05T23:29:55.6099750Z   adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16.h'
2025-06-05T23:29:55.6100416Z   adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16_math.h'
2025-06-05T23:29:55.6101071Z   adding 'executorch/include/executorch/runtime/core/portable_type/bits_types.h'
2025-06-05T23:29:55.6101734Z   adding 'executorch/include/executorch/runtime/core/portable_type/complex.h'
2025-06-05T23:29:55.6102351Z   adding 'executorch/include/executorch/runtime/core/portable_type/device.h'
2025-06-05T23:29:55.6102942Z   adding 'executorch/include/executorch/runtime/core/portable_type/half.h'
2025-06-05T23:29:55.6103853Z   adding 'executorch/include/executorch/runtime/core/portable_type/optional.h'
2025-06-05T23:29:55.6104981Z   adding 'executorch/include/executorch/runtime/core/portable_type/qint_types.h'
2025-06-05T23:29:55.6105681Z   adding 'executorch/include/executorch/runtime/core/portable_type/scalar.h'
2025-06-05T23:29:55.6106306Z   adding 'executorch/include/executorch/runtime/core/portable_type/scalar_type.h'
2025-06-05T23:29:55.6106968Z   adding 'executorch/include/executorch/runtime/core/portable_type/string_view.h'
2025-06-05T23:29:55.6107751Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor.h'
2025-06-05T23:29:55.6108453Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor_impl.h'
2025-06-05T23:29:55.6109133Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor_options.h'
2025-06-05T23:29:55.6109848Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h'
2025-06-05T23:29:55.6110595Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h'
2025-06-05T23:29:55.6111363Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h'
2025-06-05T23:29:55.6112138Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h'
2025-06-05T23:29:55.6112903Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h'
2025-06-05T23:29:55.6113939Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h'
2025-06-05T23:29:55.6115211Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h'
2025-06-05T23:29:55.6116631Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h'
2025-06-05T23:29:55.6118056Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h'
2025-06-05T23:29:55.6119436Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex.h'
2025-06-05T23:29:55.6120371Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex_math.h'
2025-06-05T23:29:55.6121156Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex_utils.h'
2025-06-05T23:29:55.6121968Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h'
2025-06-05T23:29:55.6122761Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h'
2025-06-05T23:29:55.6123427Z   adding 'executorch/include/executorch/runtime/kernel/kernel_includes.h'
2025-06-05T23:29:55.6124041Z   adding 'executorch/include/executorch/runtime/kernel/kernel_runtime_context.h'
2025-06-05T23:29:55.6124674Z   adding 'executorch/include/executorch/runtime/kernel/operator_registry.h'
2025-06-05T23:29:55.6125302Z   adding 'executorch/include/executorch/runtime/kernel/thread_parallel_interface.h'
2025-06-05T23:29:55.6126002Z   adding 'executorch/include/executorch/runtime/kernel/test/test_util.h'
2025-06-05T23:29:55.6126703Z   adding 'executorch/include/executorch/runtime/platform/abort.h'
2025-06-05T23:29:55.6127592Z   adding 'executorch/include/executorch/runtime/platform/assert.h'
2025-06-05T23:29:55.6128483Z   adding 'executorch/include/executorch/runtime/platform/clock.h'
2025-06-05T23:29:55.6129492Z   adding 'executorch/include/executorch/runtime/platform/compat_unistd.h'
2025-06-05T23:29:55.6130487Z   adding 'executorch/include/executorch/runtime/platform/compiler.h'
2025-06-05T23:29:55.6131224Z   adding 'executorch/include/executorch/runtime/platform/log.h'
2025-06-05T23:29:55.6131749Z   adding 'executorch/include/executorch/runtime/platform/platform.h'
2025-06-05T23:29:55.6132287Z   adding 'executorch/include/executorch/runtime/platform/profiler.h'
2025-06-05T23:29:55.6132806Z   adding 'executorch/include/executorch/runtime/platform/runtime.h'
2025-06-05T23:29:55.6133421Z   adding 'executorch/include/executorch/runtime/platform/system.h'
2025-06-05T23:29:55.6133925Z   adding 'executorch/include/executorch/runtime/platform/types.h'
2025-06-05T23:29:55.6134476Z   adding 'executorch/include/executorch/runtime/platform/test/pal_spy.h'
2025-06-05T23:29:55.6135068Z   adding 'executorch/include/executorch/runtime/platform/test/stub_platform.h'
2025-06-05T23:29:55.6135661Z   adding 'executorch/kernels/quantized/__init__.py'
2025-06-05T23:29:55.6136454Z   adding 'executorch/kernels/quantized/libquantized_ops_aot_lib.so'
2025-06-05T23:29:55.6137366Z   adding 'executorch/kernels/quantized/quantized.yaml'
2025-06-05T23:29:55.6138196Z   adding 'executorch/kernels/quantized/test/supported_features_def.yaml'
2025-06-05T23:29:55.6139265Z   adding 'executorch/kernels/quantized/test/test_out_variants.py'
2025-06-05T23:29:55.6140239Z   adding 'executorch/kernels/quantized/test/test_quant_dequant_per_token.py'
2025-06-05T23:29:55.6140943Z   adding 'executorch/runtime/__init__.py'
2025-06-05T23:29:55.6141556Z   adding 'executorch/runtime/kernel/test/functions.yaml'
2025-06-05T23:29:55.6142207Z   adding 'executorch/runtime/test/test_runtime.py'
2025-06-05T23:29:55.6142814Z   adding 'executorch/schema/program.fbs'
2025-06-05T23:29:55.6143368Z   adding 'executorch/schema/scalar_type.fbs'
2025-06-05T23:29:55.6143988Z   adding 'executorch/share/cmake/executorch-config.cmake'
2025-06-05T23:29:55.6144778Z   adding 'executorch/util/activation_memory_profiler.py'
2025-06-05T23:29:55.6145456Z   adding 'executorch/util/collect_env.py'
2025-06-05T23:29:55.6146039Z   adding 'executorch/util/python_profiler.py'
2025-06-05T23:29:55.6146758Z   adding 'executorch-0.7.0a0+bd57234.dist-info/licenses/LICENSE'
2025-06-05T23:29:55.6147564Z   adding 'executorch-0.7.0a0+bd57234.dist-info/METADATA'
2025-06-05T23:29:55.6148293Z   adding 'executorch-0.7.0a0+bd57234.dist-info/WHEEL'
2025-06-05T23:29:55.6149074Z   adding 'executorch-0.7.0a0+bd57234.dist-info/entry_points.txt'
2025-06-05T23:29:55.6149963Z   adding 'executorch-0.7.0a0+bd57234.dist-info/top_level.txt'
2025-06-05T23:29:55.6150728Z   adding 'executorch-0.7.0a0+bd57234.dist-info/RECORD'
2025-06-05T23:29:55.6151499Z   removing pip-out/bdist.linux-x86_64/wheel
2025-06-05T23:29:55.6152517Z   Building wheel for executorch (pyproject.toml) ... [?25l[?25hdone
2025-06-05T23:29:55.6154203Z   Created wheel for executorch: filename=executorch-0.7.0a0+bd57234-cp310-cp310-linux_x86_64.whl size=10802381 sha256=f8e11a0389a5b84ebb17bfc9281bcaa57ad4e1e5d27360383f39c8893882d280
2025-06-05T23:29:55.6156424Z   Stored in directory: /tmp/pip-ephem-wheel-cache-uf2atrya/wheels/9e/f0/2b/6a778c77421b91e006bef425e288a1e5c7c35b04c51317756b
2025-06-05T23:29:55.6157412Z Successfully built executorch
2025-06-05T23:29:55.6158132Z Installing collected packages: flatbuffers, pyaml, protobuf, execnet, pytest, cattrs, pytest-xdist, pytest-rerunfailures, coremltools, executorch
2025-06-05T23:29:55.6158940Z [?25l
2025-06-05T23:29:55.6159301Z   changing mode of /opt/conda/envs/py_3.10/bin/pyaml to 755
2025-06-05T23:29:55.6159710Z 
2025-06-05T23:29:55.6160075Z    ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/10 [execnet]
2025-06-05T23:29:55.6160543Z   Attempting uninstall: pytest
2025-06-05T23:29:55.6161038Z    ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/10 [execnet]
2025-06-05T23:29:55.6161525Z     Found existing installation: pytest 7.2.0
2025-06-05T23:29:55.6162055Z    ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/10 [execnet]
2025-06-05T23:29:55.6162575Z     Uninstalling pytest-7.2.0:
2025-06-05T23:29:55.6163405Z    ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/10 [execnet]
2025-06-05T23:29:55.6164435Z    ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━  4/10 [pytest]
2025-06-05T23:29:55.6165106Z       Removing file or directory /opt/conda/envs/py_3.10/bin/py.test
2025-06-05T23:29:55.6165721Z    ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━  4/10 [pytest]
2025-06-05T23:29:55.6166259Z       Removing file or directory /opt/conda/envs/py_3.10/bin/pytest
2025-06-05T23:29:55.6166852Z    ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━  4/10 [pytest]
2025-06-05T23:29:55.6167649Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/__pycache__/py.cpython-310.pyc
2025-06-05T23:29:55.6168427Z    ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━  4/10 [pytest]
2025-06-05T23:29:55.6169092Z    ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━  4/10 [pytest]
2025-06-05T23:29:55.6169801Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/_pytest/
2025-06-05T23:29:55.6170691Z    ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━  4/10 [pytest]
2025-06-05T23:30:08.9225154Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/py.py
2025-06-05T23:30:08.9226170Z    ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━  4/10 [pytest]
2025-06-05T23:30:08.9226957Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest-7.2.0.dist-info/
2025-06-05T23:30:08.9227743Z    ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━  4/10 [pytest]
2025-06-05T23:30:08.9228460Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest/
2025-06-05T23:30:08.9229346Z    ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━  4/10 [pytest]
2025-06-05T23:30:08.9229858Z       Successfully uninstalled pytest-7.2.0
2025-06-05T23:30:08.9230369Z    ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━  4/10 [pytest]
2025-06-05T23:30:08.9230964Z    ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━  4/10 [pytest]
2025-06-05T23:30:08.9231747Z   changing mode of /opt/conda/envs/py_3.10/bin/py.test to 755
2025-06-05T23:30:08.9232401Z    ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━  4/10 [pytest]
2025-06-05T23:30:08.9233010Z   changing mode of /opt/conda/envs/py_3.10/bin/pytest to 755
2025-06-05T23:30:08.9233573Z    ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━  4/10 [pytest]
2025-06-05T23:30:08.9234183Z    ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━  6/10 [pytest-xdist]
2025-06-05T23:30:08.9234813Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━  8/10 [coremltools]
2025-06-05T23:30:08.9235416Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━  8/10 [coremltools]
2025-06-05T23:30:08.9236021Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━  8/10 [coremltools]
2025-06-05T23:30:08.9236664Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━  8/10 [coremltools]
2025-06-05T23:30:08.9237465Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━  8/10 [coremltools]
2025-06-05T23:30:08.9238400Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━  8/10 [coremltools]
2025-06-05T23:30:08.9239146Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━  8/10 [coremltools]
2025-06-05T23:30:08.9239801Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  9/10 [executorch]
2025-06-05T23:30:08.9240565Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  9/10 [executorch]
2025-06-05T23:30:08.9241227Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  9/10 [executorch]
2025-06-05T23:30:08.9241807Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  9/10 [executorch]
2025-06-05T23:30:08.9242408Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  9/10 [executorch]
2025-06-05T23:30:08.9243040Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  9/10 [executorch]
2025-06-05T23:30:08.9243617Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  9/10 [executorch]
2025-06-05T23:30:08.9244201Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  9/10 [executorch]
2025-06-05T23:30:08.9244789Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  9/10 [executorch]
2025-06-05T23:30:08.9245387Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  9/10 [executorch]
2025-06-05T23:30:08.9245979Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  9/10 [executorch]
2025-06-05T23:30:08.9246550Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  9/10 [executorch]
2025-06-05T23:30:08.9247182Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  9/10 [executorch]
2025-06-05T23:30:08.9247760Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  9/10 [executorch]
2025-06-05T23:30:08.9248290Z   changing mode of /opt/conda/envs/py_3.10/bin/flatc to 755
2025-06-05T23:30:08.9248863Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  9/10 [executorch]
2025-06-05T23:30:08.9249399Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10/10 [executorch]
2025-06-05T23:30:08.9249806Z [?25h
2025-06-05T23:30:08.9251163Z Successfully installed cattrs-25.1.1 coremltools-8.3.0 execnet-2.1.1 executorch-0.7.0a0+bd57234 flatbuffers-25.2.10 protobuf-6.31.1 pyaml-25.5.0 pytest-8.4.0 pytest-rerunfailures-15.1 pytest-xdist-3.7.0
2025-06-05T23:30:08.9252413Z Processing ./third-party/ao
2025-06-05T23:30:08.9252978Z   Preparing metadata (setup.py) ... [?25l- done
2025-06-05T23:30:08.9253436Z [?25hBuilding wheels for collected packages: torchao
2025-06-05T23:30:08.9255982Z   DEPRECATION: Building 'torchao' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchao'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-06-05T23:30:08.9258167Z   Building wheel for torchao (setup.py) ... [?25l- \ | / - done
2025-06-05T23:30:08.9259454Z [?25h  Created wheel for torchao: filename=torchao-0.12.0+gitbc68b11-cp39-abi3-linux_x86_64.whl size=955965 sha256=64dad8733a8ab0a17f3aaeb8bcca36a288eecef567c4a6db3d450622781586be
2025-06-05T23:30:08.9260703Z   Stored in directory: /tmp/pip-ephem-wheel-cache-izj907wn/wheels/0b/23/ff/2261dc1c4a27252503fe159d9fc88676b133e0e8d621abf36f
2025-06-05T23:30:08.9261376Z Successfully built torchao
2025-06-05T23:30:08.9261726Z Installing collected packages: torchao
2025-06-05T23:30:08.9262029Z   Attempting uninstall: torchao
2025-06-05T23:30:08.9262372Z     Found existing installation: torchao 0.12.0+gitbc68b11
2025-06-05T23:30:08.9262761Z     Uninstalling torchao-0.12.0+gitbc68b11:
2025-06-05T23:30:08.9263125Z       Successfully uninstalled torchao-0.12.0+gitbc68b11
2025-06-05T23:30:08.9263521Z Successfully installed torchao-0.12.0+gitbc68b11
2025-06-05T23:30:08.9263858Z Build successfully completed.
2025-06-05T23:30:08.9264139Z + PYTHON_EXECUTABLE=python
2025-06-05T23:30:08.9264401Z + bash .ci/scripts/test_openvino.sh
2025-06-05T23:30:08.9264708Z ++ dirname .ci/scripts/test_openvino.sh
2025-06-05T23:30:08.9265001Z + source .ci/scripts/utils.sh
2025-06-05T23:30:08.9265282Z + source openvino/dist/setupvars.sh
2025-06-05T23:30:08.9265586Z +++ abs_path openvino/dist/setupvars.sh
2025-06-05T23:30:08.9265918Z ++++ eval echo openvino/dist/setupvars.sh
2025-06-05T23:30:08.9266239Z +++++ echo openvino/dist/setupvars.sh
2025-06-05T23:30:08.9266540Z +++ script_path=openvino/dist/setupvars.sh
2025-06-05T23:30:08.9266860Z ++++ dirname openvino/dist/setupvars.sh
2025-06-05T23:30:08.9267153Z +++ directory=openvino/dist
2025-06-05T23:30:08.9267422Z +++ builtin cd openvino/dist
2025-06-05T23:30:08.9267672Z +++ pwd -P
2025-06-05T23:30:20.8209040Z ++ SCRIPT_DIR=/pytorch/executorch/openvino/dist
2025-06-05T23:30:20.8209696Z ++ INSTALLDIR=/pytorch/executorch/openvino/dist
2025-06-05T23:30:20.8210129Z ++ export INTEL_OPENVINO_DIR=/pytorch/executorch/openvino/dist
2025-06-05T23:30:20.8210616Z ++ INTEL_OPENVINO_DIR=/pytorch/executorch/openvino/dist
2025-06-05T23:30:20.8210980Z ++ '[' 0 -gt 0 ']'
2025-06-05T23:30:20.8211248Z ++ '[' -e /pytorch/executorch/openvino/dist/runtime ']'
2025-06-05T23:30:20.8211704Z ++ export OpenVINO_DIR=/pytorch/executorch/openvino/dist/runtime/cmake
2025-06-05T23:30:20.8212203Z ++ OpenVINO_DIR=/pytorch/executorch/openvino/dist/runtime/cmake
2025-06-05T23:30:20.8212791Z ++ '[' -f /pytorch/executorch/openvino/dist/runtime/cmake/OpenVINOGenAIConfig.cmake ']'
2025-06-05T23:30:20.8213456Z +++ /bin/ls /pytorch/executorch/openvino/dist/runtime/lib/
2025-06-05T23:30:20.8213806Z ++ system_type=intel64
2025-06-05T23:30:20.8214175Z ++ OV_PLUGINS_PATH=/pytorch/executorch/openvino/dist/runtime/lib/intel64
2025-06-05T23:30:20.8214591Z ++ [[ linux-gnu == \d\a\r\w\i\n* ]]
2025-06-05T23:30:20.8215027Z ++ export LD_LIBRARY_PATH=/pytorch/executorch/openvino/dist/runtime/lib/intel64
2025-06-05T23:30:20.8215856Z ++ LD_LIBRARY_PATH=/pytorch/executorch/openvino/dist/runtime/lib/intel64
2025-06-05T23:30:20.8216636Z ++ export PKG_CONFIG_PATH=/pytorch/executorch/openvino/dist/runtime/lib/intel64/pkgconfig
2025-06-05T23:30:20.8217303Z ++ PKG_CONFIG_PATH=/pytorch/executorch/openvino/dist/runtime/lib/intel64/pkgconfig
2025-06-05T23:30:20.8217862Z ++ '[' -e /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb ']'
2025-06-05T23:30:20.8218451Z ++ tbb_lib_path=/pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib
2025-06-05T23:30:20.8219016Z ++ '[' -d /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/intel64 ']'
2025-06-05T23:30:20.8223997Z ++ /bin/ls /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbb.so /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbb.so.12 /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbb.so.12.13 /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbbind_2_5.so /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbbind_2_5.so.3 /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbbind_2_5.so.3.13 /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc.so /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc.so.2 /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc.so.2.13 /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc_proxy.so /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc_proxy.so.2 /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/libtbbmalloc_proxy.so.2.13
2025-06-05T23:30:20.8229102Z ++ [[ linux-gnu == \d\a\r\w\i\n* ]]
2025-06-05T23:30:20.8229835Z ++ export LD_LIBRARY_PATH=/pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib:/pytorch/executorch/openvino/dist/runtime/lib/intel64
2025-06-05T23:30:20.8230971Z ++ LD_LIBRARY_PATH=/pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib:/pytorch/executorch/openvino/dist/runtime/lib/intel64
2025-06-05T23:30:20.8231676Z ++ unset tbb_lib_path
2025-06-05T23:30:20.8232073Z ++ '[' -e /pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/cmake/TBB ']'
2025-06-05T23:30:20.8232723Z ++ export TBB_DIR=/pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/cmake/TBB
2025-06-05T23:30:20.8233367Z ++ TBB_DIR=/pytorch/executorch/openvino/dist/runtime/3rdparty/tbb/lib/cmake/TBB
2025-06-05T23:30:20.8233809Z ++ unset system_type
2025-06-05T23:30:20.8234215Z ++ '[' -f /pytorch/executorch/openvino/dist/opencv/setupvars.sh ']'
2025-06-05T23:30:20.8234720Z ++ '[' -f /pytorch/executorch/openvino/dist/extras/opencv/setupvars.sh ']'
2025-06-05T23:30:20.8235134Z ++ OS_NAME=
2025-06-05T23:30:20.8235333Z ++ command -v lsb_release
2025-06-05T23:30:20.8235591Z ++ PYTHON_VERSION_MAJOR=3
2025-06-05T23:30:20.8235844Z ++ MIN_REQUIRED_PYTHON_VERSION_MINOR=9
2025-06-05T23:30:20.8236160Z ++ MAX_SUPPORTED_PYTHON_VERSION_MINOR=13
2025-06-05T23:30:20.8236466Z ++ python_version_to_check=
2025-06-05T23:30:20.8236703Z ++ '[' -z '' ']'
2025-06-05T23:30:20.8236933Z ++ python_version_to_check=3
2025-06-05T23:30:20.8237181Z ++ command -v python3
2025-06-05T23:30:20.8237418Z ++ check_python_version
2025-06-05T23:30:20.8237638Z ++ '[' -z '' ']'
2025-06-05T23:30:20.8237968Z +++ python3 -c 'import sys; print(str(sys.version_info[0]))'
2025-06-05T23:30:20.8238326Z ++ python_version_major=3
2025-06-05T23:30:20.8238647Z +++ python3 -c 'import sys; print(str(sys.version_info[1]))'
2025-06-05T23:30:20.8239002Z ++ python_version_minor=10
2025-06-05T23:30:20.8239260Z ++ python_version=3.10
2025-06-05T23:30:20.8239492Z ++ '[' 3 '!=' 3 ']'
2025-06-05T23:30:20.8239694Z ++ '[' 10 -lt 9 ']'
2025-06-05T23:30:20.8239905Z ++ '[' 10 -gt 13 ']'
2025-06-05T23:30:20.8247046Z ++ command -v python3.10
2025-06-05T23:30:20.8247363Z ++ python_interp=python3.10
2025-06-05T23:30:20.8247743Z +++ python3.10 -c 'import sys; print(64 if sys.maxsize > 2**32 else 32)'
2025-06-05T23:30:20.8248140Z ++ python_bitness=64
2025-06-05T23:30:20.8248387Z ++ unset python_interp
2025-06-05T23:30:20.8248746Z ++ '[' 64 '!=' '' ']'
2025-06-05T23:30:20.8248970Z ++ '[' 64 '!=' 64 ']'
2025-06-05T23:30:20.8249187Z ++ unset python_bitness
2025-06-05T23:30:20.8249429Z ++ '[' -n 3.10 ']'
2025-06-05T23:30:20.8249740Z ++ [[ -d /pytorch/executorch/openvino/dist/python ]]
2025-06-05T23:30:20.8250219Z ++ export PYTHONPATH=/pytorch/executorch/openvino/dist/python/python3:
2025-06-05T23:30:20.8250746Z ++ PYTHONPATH=/pytorch/executorch/openvino/dist/python/python3:
2025-06-05T23:30:20.8251447Z ++ export PYTHONPATH=/pytorch/executorch/openvino/dist/python:/pytorch/executorch/openvino/dist/python/python3:
2025-06-05T23:30:20.8252352Z ++ PYTHONPATH=/pytorch/executorch/openvino/dist/python:/pytorch/executorch/openvino/dist/python/python3:
2025-06-05T23:30:20.8253004Z ++ unset python_version
2025-06-05T23:30:20.8253268Z ++ unset python_version_to_check
2025-06-05T23:30:20.8253545Z ++ unset PYTHON_VERSION_MAJOR
2025-06-05T23:30:20.8253841Z ++ unset MIN_REQUIRED_PYTHON_VERSION_MINOR
2025-06-05T23:30:20.8254161Z ++ unset MAX_SUPPORTED_PYTHON_VERSION_MINOR
2025-06-05T23:30:20.8254467Z ++ unset OS_NAME
2025-06-05T23:30:20.8254762Z ++ echo '[setupvars.sh] OpenVINO environment initialized'
2025-06-05T23:30:20.8255157Z [setupvars.sh] OpenVINO environment initialized
2025-06-05T23:30:20.8255495Z + cd backends/openvino/tests
2025-06-05T23:30:20.8255769Z + python test_runner.py --test_type ops
2025-06-05T23:30:20.8256553Z WARNING:nncf:NNCF provides best results with torch==2.5.*, while current torch version is 2.8.0.dev20250601+cpu. If you encounter issues, consider switching to torch==2.5.*
2025-06-05T23:30:20.8258250Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:20.8260486Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x18c52610
2025-06-05T23:30:20.8262748Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:20.8265056Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:20.8267441Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:20.8269070Z .[/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:20.8270079Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x18c7df40
2025-06-05T23:30:20.8271038Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:20.8272010Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:20.8273000Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:20.8273983Z .[/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:20.8274951Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19790b40
2025-06-05T23:30:20.8275905Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:20.8276874Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:20.8277870Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:20.8278860Z .[/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:20.8279818Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19b88380
2025-06-05T23:30:20.8280768Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:20.8281774Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:20.8282799Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:20.8283796Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:20.8284745Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19b88380
2025-06-05T23:30:20.8285698Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:20.8286665Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:20.8287658Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:20.8288655Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:20.8289607Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x198bd060
2025-06-05T23:30:20.8290564Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:20.8291537Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:20.8292528Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:20.8293630Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:31.2665119Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x198bd060
2025-06-05T23:30:31.2666609Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:31.2668061Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:31.2669385Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:31.2670697Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:31.2672080Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19e517a0
2025-06-05T23:30:31.2673350Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:31.2674632Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:31.2675942Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:31.2677255Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:31.2678508Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19b88380
2025-06-05T23:30:31.2679757Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:31.2681035Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:31.2682338Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:31.2683646Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:31.2684893Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19c40b90
2025-06-05T23:30:31.2686202Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:31.2687539Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:31.2688858Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:31.2690170Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:31.2691424Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19d93610
2025-06-05T23:30:31.2692683Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:31.2694024Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:31.2695317Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:31.2696631Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:31.2697890Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19a8e370
2025-06-05T23:30:31.2699150Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:31.2700451Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:31.2701809Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:31.2703115Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:31.2704368Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19e48760
2025-06-05T23:30:31.2705630Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:31.2706711Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:31.2707685Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:31.2708718Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:31.2709662Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19c34930
2025-06-05T23:30:31.2710616Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:31.2711620Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:31.2712602Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:31.2713597Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:31.2714555Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19c346a0
2025-06-05T23:30:31.2715492Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:31.2716479Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:31.2717461Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:31.2718454Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:31.2719414Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19c2bb10
2025-06-05T23:30:31.2720383Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:31.2721394Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:31.2722374Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:31.2723367Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:31.2724333Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19c2bb10
2025-06-05T23:30:31.2725273Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:31.2726253Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:31.2727237Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:31.2728232Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:31.2729371Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19c2bb10
2025-06-05T23:30:31.2730317Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:31.2731300Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:31.2732342Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:31.2733426Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:31.2734395Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19ab9070
2025-06-05T23:30:31.2735334Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:31.2736317Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:31.2737385Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:31.2738386Z .[/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:31.2739350Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19ac5040
2025-06-05T23:30:31.2740291Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:31.2741277Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:31.2742257Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:31.2743257Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:31.2744218Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x199e4f30
2025-06-05T23:30:31.2745159Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:31.2746148Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:31.2747122Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:40.4463729Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:40.4465412Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19a6f300
2025-06-05T23:30:40.4466457Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:40.4467439Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:40.4468422Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:40.4469471Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:40.4470542Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x199298c0
2025-06-05T23:30:40.4471547Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:40.4472604Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:40.4473686Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:40.4474734Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:40.4475798Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19ca4140
2025-06-05T23:30:40.4476806Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:40.4477932Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:40.4479012Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:40.4480060Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:40.4481121Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19c3b700
2025-06-05T23:30:40.4482139Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:40.4483173Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:40.4484364Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:40.4485367Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:40.4486369Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19acf720
2025-06-05T23:30:40.4487319Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:40.4488361Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:40.4489342Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:40.4490331Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:40.4491280Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19a6f120
2025-06-05T23:30:40.4492291Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:40.4493377Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:40.4494358Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:40.4495395Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:40.4496389Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19acf720
2025-06-05T23:30:40.4497331Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:40.4498316Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:40.4499358Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:40.4500366Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:40.4501322Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19a6f120
2025-06-05T23:30:40.4502259Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:40.4503243Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:40.4504235Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:40.4505211Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:40.4506174Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19cc8460
2025-06-05T23:30:40.4507147Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:40.4508129Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:40.4509125Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:40.4510105Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:40.4511070Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19e26a00
2025-06-05T23:30:40.4512066Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:40.4513084Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:40.4514074Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:40.4515059Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:40.4516016Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19bbfc90
2025-06-05T23:30:40.4516956Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:40.4517938Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:40.4518921Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:40.4519904Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:40.4520860Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x192f7930
2025-06-05T23:30:40.4521799Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:40.4522777Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:40.4523757Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:40.4524766Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:40.4525746Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x1a048490
2025-06-05T23:30:40.4526681Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:40.4527662Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:40.4528867Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:40.4529980Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:40.4530942Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x1930f3a0
2025-06-05T23:30:40.4531879Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:40.4532867Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:40.4534175Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:40.4535165Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:40.4536224Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19792b10
2025-06-05T23:30:40.4537165Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:40.4538236Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:50.2737711Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:50.2738822Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:50.2739917Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19792b10
2025-06-05T23:30:50.2741159Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:50.2742259Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:50.2743347Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:50.2744394Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:50.2745455Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19792b10
2025-06-05T23:30:50.2746448Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:50.2747539Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:50.2748589Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:50.2749629Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:50.2750703Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19792b10
2025-06-05T23:30:50.2751696Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:50.2752731Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:50.2753895Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:50.2754990Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:50.2756066Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19792b10
2025-06-05T23:30:50.2757057Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:50.2758108Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:50.2759192Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:50.2760230Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:50.2761310Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19c4ea50
2025-06-05T23:30:50.2762313Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:50.2763354Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:50.2764459Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:50.2765486Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:50.2766614Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x199bb650
2025-06-05T23:30:50.2767620Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:50.2768648Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:50.2769754Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:50.2770789Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:50.2771812Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x1a053090
2025-06-05T23:30:50.2772892Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:50.2773996Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:50.2775039Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:50.2776018Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:50.2776985Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19b066a0
2025-06-05T23:30:50.2777999Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:50.2778965Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:50.2779950Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:50.2780985Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:50.2781948Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19a41fd0
2025-06-05T23:30:50.2782900Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:50.2783907Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:50.2784928Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:50.2785902Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:50.2786855Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x197db2e0
2025-06-05T23:30:50.2787820Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:50.2788819Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:50.2789807Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:50.2790783Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:50.2791742Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19c03f40
2025-06-05T23:30:50.2792687Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:50.2793652Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:50.2794637Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:50.2795647Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:50.2796606Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19d14ad0
2025-06-05T23:30:50.2797548Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:50.2798517Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:50.2799508Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:50.2800487Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:50.2801541Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x1a02ad90
2025-06-05T23:30:50.2802494Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:50.2803465Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:50.2804454Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:50.2805434Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:50.2806395Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x1a0adc30
2025-06-05T23:30:50.2807345Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:30:50.2808317Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:30:50.2809310Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:30:50.2810290Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:30:50.2811252Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x1a1234b0
2025-06-05T23:30:50.2812202Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:00.3152487Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:00.3153783Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:00.3154773Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:00.3155784Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19c59300
2025-06-05T23:31:00.3156736Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:00.3157744Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:00.3158738Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:00.3159740Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:00.3160688Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x1a0672f0
2025-06-05T23:31:00.3161638Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:00.3162602Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:00.3163590Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:00.3164654Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:00.3165599Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19d208a0
2025-06-05T23:31:00.3166550Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:00.3167528Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:00.3168582Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:00.3169761Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:00.3170716Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19dde250
2025-06-05T23:31:00.3171670Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:00.3172642Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:00.3173723Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:00.3174726Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:00.3175680Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19c03f40
2025-06-05T23:31:00.3176638Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:00.3177603Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:00.3178592Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:00.3179579Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:00.3180523Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19dde250
2025-06-05T23:31:00.3181521Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:00.3182543Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:00.3183528Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:00.3184519Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:00.3185468Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19dde250
2025-06-05T23:31:00.3186430Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:00.3187897Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:00.3189242Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:00.3190556Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:00.3191802Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19c03f40
2025-06-05T23:31:00.3193058Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:00.3194351Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:00.3195697Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:00.3197002Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:00.3198253Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x1a0e4d80
2025-06-05T23:31:00.3199502Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:00.3200793Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:00.3202084Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:00.3203424Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:00.3204675Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19dde250
2025-06-05T23:31:00.3205927Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:00.3207211Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:00.3208512Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:00.3209838Z .[/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:00.3211088Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19d0acf0
2025-06-05T23:31:00.3212339Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:00.3213708Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:00.3215000Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:00.3216304Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:00.3217602Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x198fa090
2025-06-05T23:31:00.3218887Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:00.3220209Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:00.3224253Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:00.3225579Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:00.3226860Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19a01dc0
2025-06-05T23:31:00.3228116Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:00.3229591Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:00.3230921Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:00.3232248Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:00.3233462Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19a01dc0
2025-06-05T23:31:00.3234435Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:00.3235485Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:00.3239826Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:00.3240906Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:00.3241885Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x1a061e70
2025-06-05T23:31:10.0554153Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:10.0555274Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:10.0556373Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:10.0557414Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:10.0558530Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19d28d90
2025-06-05T23:31:10.0559569Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:10.0560641Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:10.0561697Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:10.0562740Z .[/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:10.0563818Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19c68a40
2025-06-05T23:31:10.0564834Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:10.0565870Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:10.0566965Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:10.0568002Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:10.0569261Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19c02490
2025-06-05T23:31:10.0570275Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:10.0571360Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:10.0572541Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:10.0573736Z .[/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:10.0574762Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x1930fa40
2025-06-05T23:31:10.0575780Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:10.0576866Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:10.0577912Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:10.0578996Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:10.0580025Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19e71d70
2025-06-05T23:31:10.0581061Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:10.0582216Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:10.0583324Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:10.0584444Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:10.0585448Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19fe3190
2025-06-05T23:31:10.0586462Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:10.0587548Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:10.0588586Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:10.0589667Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:10.0590679Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19fe3190
2025-06-05T23:31:10.0591624Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:10.0592650Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:10.0593635Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:10.0594671Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:10.0595618Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19fe3190
2025-06-05T23:31:10.0596568Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:10.0597532Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:10.0598591Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:10.0599629Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:10.0600574Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19fa7910
2025-06-05T23:31:10.0601522Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:10.0602555Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:10.0603545Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:10.0604544Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:10.0605558Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19876b40
2025-06-05T23:31:10.0606507Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:10.0607475Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:10.0608467Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:10.0609456Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:10.0610403Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x199392f0
2025-06-05T23:31:10.0611392Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:10.0612399Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:10.0613489Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:10.0614489Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:10.0615441Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19f8df60
2025-06-05T23:31:10.0616396Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:10.0617370Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:10.0618425Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:10.0619427Z .[/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:10.0620377Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19909f50
2025-06-05T23:31:10.0621330Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:10.0622300Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:10.0623289Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:10.0624281Z .[/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:10.0625235Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19e3dca0
2025-06-05T23:31:10.0626187Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:10.0627166Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:10.0628145Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:37.8055671Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:37.8057713Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x19b73f40
2025-06-05T23:31:37.8059625Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:37.8061960Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:37.8063581Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:37.8064535Z .
2025-06-05T23:31:37.8064932Z ----------------------------------------------------------------------
2025-06-05T23:31:37.8065454Z Ran 10 tests in 54.578s
2025-06-05T23:31:37.8065699Z 
2025-06-05T23:31:37.8065818Z OK
2025-06-05T23:31:37.8066174Z OpenVINO backend tests completed successfully
2025-06-05T23:31:37.8066704Z + python test_runner.py --test_type models
2025-06-05T23:31:37.8067690Z WARNING:nncf:NNCF provides best results with torch==2.5.*, while current torch version is 2.8.0.dev20250601+cpu. If you encounter issues, consider switching to torch==2.5.*
2025-06-05T23:31:37.8069172Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
2025-06-05T23:31:37.8070327Z   warnings.warn(
2025-06-05T23:31:37.8072401Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet50_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet50_Weights.DEFAULT` to get the most up-to-date weights.
2025-06-05T23:31:37.8074235Z   warnings.warn(msg)
2025-06-05T23:31:37.8074941Z Downloading: "https://download.pytorch.org/models/resnet50-0676ba61.pth" to /var/lib/ci-user/.cache/torch/hub/checkpoints/resnet50-0676ba61.pth
2025-06-05T23:31:37.8075577Z 
2025-06-05T23:31:37.8075679Z   0% 0.00/97.8M [00:00<?, ?B/s]
2025-06-05T23:31:37.8075929Z  28% 27.6M/97.8M [00:00<00:00, 288MB/s]
2025-06-05T23:31:37.8076214Z  57% 55.2M/97.8M [00:00<00:00, 189MB/s]
2025-06-05T23:31:37.8076482Z  84% 81.8M/97.8M [00:00<00:00, 220MB/s]
2025-06-05T23:31:37.8076891Z 100% 97.8M/97.8M [00:00<00:00, 224MB/s]
2025-06-05T23:31:37.8077542Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:37.8078550Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x7f1cc52c7e30
2025-06-05T23:31:37.8079522Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:37.8080493Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:37.8081479Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:37.8083020Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
2025-06-05T23:31:37.8084734Z   warnings.warn(
2025-06-05T23:31:37.8087353Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=MobileNet_V2_Weights.IMAGENET1K_V1`. You can also use `weights=MobileNet_V2_Weights.DEFAULT` to get the most up-to-date weights.
2025-06-05T23:31:37.8090617Z   warnings.warn(msg)
2025-06-05T23:31:37.8091938Z Downloading: "https://download.pytorch.org/models/mobilenet_v2-b0353104.pth" to /var/lib/ci-user/.cache/torch/hub/checkpoints/mobilenet_v2-b0353104.pth
2025-06-05T23:31:37.8093279Z 
2025-06-05T23:31:37.8093465Z   0% 0.00/13.6M [00:00<?, ?B/s]
2025-06-05T23:31:37.8093933Z 100% 13.6M/13.6M [00:00<00:00, 291MB/s]
2025-06-05T23:31:37.8095204Z [/pytorch/executorch/runtime/executor/program.cpp:134] InternalConsistency verification requested but not available
2025-06-05T23:31:37.8096980Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:54] OpenvinoBackend::init 0x22cdb620
2025-06-05T23:31:37.8098728Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:152] Infer request successfully destroyed.
2025-06-05T23:31:37.8100630Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:157] Compiled model successfully destroyed.
2025-06-05T23:31:37.8102461Z [/pytorch/executorch/backends/openvino/runtime/OpenvinoBackend.cpp:160] Delegate handle destroyed successfully.
2025-06-05T23:31:37.8103583Z .
2025-06-05T23:31:37.8103982Z ----------------------------------------------------------------------
2025-06-05T23:31:37.8104564Z Ran 1 test in 17.084s
2025-06-05T23:31:37.8104795Z 
2025-06-05T23:31:37.8104913Z OK
2025-06-05T23:31:37.8105297Z OpenVINO backend tests completed successfully
2025-06-05T23:31:37.8182647Z ##[group]Run pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1
2025-06-05T23:31:37.8183145Z with:
2025-06-05T23:31:37.8183430Z   path: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:31:37.8183901Z   fail-on-empty: false
2025-06-05T23:31:37.8184120Z env:
2025-06-05T23:31:37.8184355Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:31:37.8184692Z   REPOSITORY: pytorch/executorch
2025-06-05T23:31:37.8184951Z   PR_NUMBER: 
2025-06-05T23:31:37.8186058Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:31:37.8187360Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:31:37.8187977Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:31:37.8188499Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:31:37.8188877Z ##[endgroup]
2025-06-05T23:31:37.8753894Z Prepare all required actions
2025-06-05T23:31:37.8793677Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-06-05T23:31:37.8794039Z with:
2025-06-05T23:31:37.8794362Z   directory: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-06-05T23:31:37.8794914Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-06-05T23:31:37.8795310Z env:
2025-06-05T23:31:37.8795551Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:31:37.8795873Z   REPOSITORY: pytorch/executorch
2025-06-05T23:31:37.8796147Z   PR_NUMBER: 
2025-06-05T23:31:37.8797256Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:31:37.8798596Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:31:37.8799159Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:31:37.8799692Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:31:37.8800071Z ##[endgroup]
2025-06-05T23:31:37.8823996Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-06-05T23:31:37.8824678Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-06-05T23:31:37.8834121Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:31:37.8834496Z env:
2025-06-05T23:31:37.8834741Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:31:37.8835073Z   REPOSITORY: pytorch/executorch
2025-06-05T23:31:37.8835360Z   PR_NUMBER: 
2025-06-05T23:31:37.8836481Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:31:37.8837777Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:31:37.8838354Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:31:37.8838898Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:31:37.8839403Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-06-05T23:31:37.8839954Z   DIRECTORY: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-06-05T23:31:37.8840360Z ##[endgroup]
2025-06-05T23:31:37.9211370Z Unable to find image '308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest' locally
2025-06-05T23:31:38.1401148Z latest: Pulling from tool/alpine
2025-06-05T23:31:38.1401525Z 540db60ca938: Pulling fs layer
2025-06-05T23:31:38.2299601Z 540db60ca938: Verifying Checksum
2025-06-05T23:31:38.2299962Z 540db60ca938: Download complete
2025-06-05T23:31:38.3143744Z 540db60ca938: Pull complete
2025-06-05T23:31:38.3254086Z Digest: sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
2025-06-05T23:31:38.3293538Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest
2025-06-05T23:31:40.9842812Z Prepare all required actions
2025-06-05T23:31:40.9869046Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-06-05T23:31:40.9869428Z with:
2025-06-05T23:31:40.9869682Z   directory: /home/ec2-user/actions-runner/_work/_temp
2025-06-05T23:31:40.9870161Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-06-05T23:31:40.9870559Z env:
2025-06-05T23:31:40.9870791Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:31:40.9871118Z   REPOSITORY: pytorch/executorch
2025-06-05T23:31:40.9871392Z   PR_NUMBER: 
2025-06-05T23:31:40.9872498Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:31:40.9873813Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:31:40.9874419Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:31:40.9874946Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:31:40.9875323Z ##[endgroup]
2025-06-05T23:31:40.9900021Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-06-05T23:31:40.9900710Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-06-05T23:31:40.9907303Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:31:40.9907672Z env:
2025-06-05T23:31:40.9907905Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:31:40.9908247Z   REPOSITORY: pytorch/executorch
2025-06-05T23:31:40.9908515Z   PR_NUMBER: 
2025-06-05T23:31:40.9909627Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:31:40.9911020Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:31:40.9911586Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:31:40.9912121Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:31:40.9912636Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-06-05T23:31:40.9913110Z   DIRECTORY: /home/ec2-user/actions-runner/_work/_temp
2025-06-05T23:31:40.9913459Z ##[endgroup]
2025-06-05T23:31:42.1754734Z ##[group]Run # Only do these steps if we actually want to upload an artifact
2025-06-05T23:31:42.1755355Z # Only do these steps if we actually want to upload an artifact
2025-06-05T23:31:42.1755790Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then
2025-06-05T23:31:42.1756321Z   # If the default execution path is followed then we should get a wheel in the dist/ folder
2025-06-05T23:31:42.1756920Z   # attempt to just grab whatever is in there and scoop it all up
2025-06-05T23:31:42.1757395Z   if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then
2025-06-05T23:31:42.1757809Z     mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/"
2025-06-05T23:31:42.1758128Z   fi
2025-06-05T23:31:42.1758397Z   if [[ -d "artifacts-to-be-uploaded" ]]; then
2025-06-05T23:31:42.1758849Z     mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/"
2025-06-05T23:31:42.1759224Z   fi
2025-06-05T23:31:42.1759484Z fi
2025-06-05T23:31:42.1759675Z 
2025-06-05T23:31:42.1759969Z upload_docs=0
2025-06-05T23:31:42.1760349Z # Check if there are files in the documentation folder to upload, note that
2025-06-05T23:31:42.1760806Z # empty folders do not count
2025-06-05T23:31:42.1761249Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then
2025-06-05T23:31:42.1761822Z   # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this
2025-06-05T23:31:42.1762310Z   # upload will probably not work correctly
2025-06-05T23:31:42.1762639Z   upload_docs=1
2025-06-05T23:31:42.1762885Z fi
2025-06-05T23:31:42.1763177Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}"
2025-06-05T23:31:42.1770607Z shell: /usr/bin/bash -e {0}
2025-06-05T23:31:42.1770882Z env:
2025-06-05T23:31:42.1771113Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:31:42.1771468Z   REPOSITORY: pytorch/executorch
2025-06-05T23:31:42.1771731Z   PR_NUMBER: 
2025-06-05T23:31:42.1773006Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:31:42.1774318Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:31:42.1774887Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:31:42.1775424Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:31:42.1775831Z   UPLOAD_ARTIFACT_NAME: 
2025-06-05T23:31:42.1776102Z ##[endgroup]
2025-06-05T23:31:42.1916252Z Prepare all required actions
2025-06-05T23:31:42.1951967Z ##[group]Run ./test-infra/.github/actions/teardown-linux
2025-06-05T23:31:42.1952312Z with:
2025-06-05T23:31:42.1952506Z env:
2025-06-05T23:31:42.1952732Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:31:42.1953080Z   REPOSITORY: pytorch/executorch
2025-06-05T23:31:42.1953338Z   PR_NUMBER: 
2025-06-05T23:31:42.1954444Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:31:42.1955836Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:31:42.1956395Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:31:42.1956979Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:31:42.1957345Z ##[endgroup]
2025-06-05T23:31:42.1981030Z ##[group]Run set -eou pipefail
2025-06-05T23:31:42.1981343Z set -eou pipefail
2025-06-05T23:31:42.1981587Z 
2025-06-05T23:31:42.1981947Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-06-05T23:31:42.1982393Z for _ in $(seq 1440); do
2025-06-05T23:31:42.1982717Z     # Break if no ssh session exists anymore
2025-06-05T23:31:42.1983040Z     if [ "$(who)" = "" ]; then
2025-06-05T23:31:42.1983328Z       break
2025-06-05T23:31:42.1983539Z     fi
2025-06-05T23:31:42.1983750Z     echo "."
2025-06-05T23:31:42.1983979Z     sleep 5
2025-06-05T23:31:42.1984192Z done
2025-06-05T23:31:42.1989712Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:31:42.1990082Z env:
2025-06-05T23:31:42.1990327Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:31:42.1990661Z   REPOSITORY: pytorch/executorch
2025-06-05T23:31:42.1990932Z   PR_NUMBER: 
2025-06-05T23:31:42.1992020Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:31:42.1993406Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:31:42.1993979Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:31:42.1994499Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:31:42.1994878Z ##[endgroup]
2025-06-05T23:31:42.2016823Z Holding runner for 2 hours until all ssh sessions have logged out
2025-06-05T23:31:42.2096394Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-06-05T23:31:42.2096971Z # ignore expansion of "docker ps -q" since it could be empty
2025-06-05T23:31:42.2097386Z # shellcheck disable=SC2046
2025-06-05T23:31:42.2097698Z docker stop $(docker ps -q) || true
2025-06-05T23:31:42.2098033Z # Prune all of the docker images
2025-06-05T23:31:42.2098335Z docker system prune -af
2025-06-05T23:31:42.2103837Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:31:42.2104190Z env:
2025-06-05T23:31:42.2104439Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:31:42.2104761Z   REPOSITORY: pytorch/executorch
2025-06-05T23:31:42.2105035Z   PR_NUMBER: 
2025-06-05T23:31:42.2106137Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:31:42.2107584Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:31:42.2108165Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:31:42.2108689Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:31:42.2109071Z ##[endgroup]
2025-06-05T23:31:53.9040966Z b9e9ff0c503e
2025-06-05T23:31:55.3390169Z Deleted Containers:
2025-06-05T23:31:55.3390675Z b9e9ff0c503e766d6358b05c995fb6feee0c9ee75438f708e7f9fcea4f7457e0
2025-06-05T23:31:55.3391016Z 
2025-06-05T23:31:58.1916291Z Deleted Images:
2025-06-05T23:31:58.1917058Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:31:58.1918312Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9@sha256:7e1783dcb1f1e2cd2c9de40793b54670901c31f2bd82ded9e3245b8c7fc8e335
2025-06-05T23:31:58.1919527Z deleted: sha256:42decea3c25abb6838d54569767446361257d89de818cf9439800ba025d1a8e3
2025-06-05T23:31:58.1920164Z deleted: sha256:7711331006d6773af23933cc12964a05c3aaf2a120da80e8a8ceedd52abc6177
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2025-06-05T23:31:58.1922085Z deleted: sha256:5ac8417f891d98ee09a7bdbdff7363ef83808bb162fc9066c7c91e89890c2dd5
2025-06-05T23:31:58.1922716Z deleted: sha256:07db196724fa827984065648211f864e6bc424ad4eeddcd8c3107af14e8ea946
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2025-06-05T23:31:58.1927151Z deleted: sha256:8966aab51cbe89a4abd64f49f6324ec9d79fd709d5ee14b33fcc0dbfa6abfd35
2025-06-05T23:31:58.1927783Z deleted: sha256:0ad0db609ad48f61e48fce354685fc03f339f76cd38c68a69c6e3d0d64ed7447
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2025-06-05T23:31:58.1931827Z deleted: sha256:81541b80554a9309afd0a21664158ce626d9cf66ba512abec834c09f46e8a675
2025-06-05T23:31:58.1932448Z deleted: sha256:29f3b17588db2a80186b982ce4a44105e7f7b23085a8b9871c50404c047b743b
2025-06-05T23:31:58.1933132Z deleted: sha256:ea505e08b718e26c8dd44cec572016a22bd6073ce75212846f9a37ade19b7e33
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2025-06-05T23:31:58.1938896Z deleted: sha256:e0851190295440f4714c58db4dc283d148eec4b0da2f9d4e58161f6f5567d00f
2025-06-05T23:31:58.1939527Z deleted: sha256:dc00feea82db0cf321846bc2ae1297b5419381a551dd5f219e07dd96a451ff5e
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2025-06-05T23:31:58.1940778Z deleted: sha256:aea536c92a7448471862a5441d0b0f61161944d2b673c3910b01624ce5954b67
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2025-06-05T23:31:58.1943295Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest
2025-06-05T23:31:58.1944153Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine@sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
2025-06-05T23:31:58.1945043Z deleted: sha256:6dbb9cc54074106d46d4ccb330f2a40a682d49dda5f4844962b7dce9fe44aaec
2025-06-05T23:31:58.1945684Z deleted: sha256:b2d5eeeaba3a22b9b8aa97261957974a6bd65274ebd43e1d81d0a7b8b752b116
2025-06-05T23:31:58.1946086Z 
2025-06-05T23:31:58.1955840Z Total reclaimed space: 15.74GB
2025-06-05T23:31:58.1997031Z ##[group]Run set +e
2025-06-05T23:31:58.1997305Z set +e
2025-06-05T23:31:58.1997536Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-06-05T23:31:58.1997925Z   sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-06-05T23:31:58.1998272Z else
2025-06-05T23:31:58.1998549Z   rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-06-05T23:31:58.1998868Z fi
2025-06-05T23:31:58.1999071Z set -e
2025-06-05T23:31:58.2004528Z shell: /usr/bin/bash -e {0}
2025-06-05T23:31:58.2004789Z env:
2025-06-05T23:31:58.2005022Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:31:58.2005364Z   REPOSITORY: pytorch/executorch
2025-06-05T23:31:58.2005623Z   PR_NUMBER: 
2025-06-05T23:31:58.2006777Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-openvino.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/test_openvino.sh

2025-06-05T23:31:58.2008156Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:31:58.2008733Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:31:58.2009278Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:31:58.2009643Z   NO_SUDO: false
2025-06-05T23:31:58.2009858Z ##[endgroup]
2025-06-05T23:32:01.1610077Z Post job cleanup.
2025-06-05T23:32:01.2717533Z Post job cleanup.
2025-06-05T23:32:01.3656633Z [command]/usr/bin/git version
2025-06-05T23:32:01.3711972Z git version 2.47.1
2025-06-05T23:32:01.3752289Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/d9ebef00-4ecb-4efa-af1c-4e6833b9b501' before making global git config changes
2025-06-05T23:32:01.3753238Z Adding repository directory to the temporary git global config as a safe directory
2025-06-05T23:32:01.3757323Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-06-05T23:32:01.3787487Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-06-05T23:32:01.3822354Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-06-05T23:32:01.4098361Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-06-05T23:32:01.4116752Z http.https://github.com/.extraheader
2025-06-05T23:32:01.4126613Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-06-05T23:32:01.4152892Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-06-05T23:32:01.4466089Z A job completed hook has been configured by the self-hosted runner administrator
2025-06-05T23:32:01.4491422Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-06-05T23:32:01.4496553Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:32:01.4496936Z ##[endgroup]
2025-06-05T23:32:08.3857908Z Cleaning up orphan processes